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  • 1. McNally, Branden Deep Learning Approach for Vision Navigation in Flight

    Master of Science (M.S.), University of Dayton, 2018, Electrical and Computer Engineering

    The recent advancements in the field of Deep Learning have fostered solutions to many complex image based problems such as image classification, object detection, and image captioning. The goal of this work is to apply Deep Learning techniques to the problem of image based navigation in a flight environment. In the situation GPS is not available, it is important to have alternate navigation systems. An image based navigation system is potentially a cost effective alternative during a GPS outage. The current state of the art results are obtained using a perspective-n-point (PnP) approach. The downsides to the PnP approach include carrying a large database of features for matching and sparse availability of distinct features in all scenes. A deep learning approach allows for a lightweight solution and provides a position estimation for any scene. A variety of published networks are modified for regression and trained to estimate a virtual drones North and East position as a function of a single input image. The best network tested produces an average euclidean distance error, in a 2.5 x 2.5 Km virtual environment, is 5.643 meters.
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    Committee: Eric Balster Ph.D. (Advisor) Subjects: Engineering

  • 2. Kundu, Rupam A Single Camera based Localization and Navigation Assistance for The Visually Impaired in Indoor Environments

    Master of Science, The Ohio State University, 2019, Computer Science and Engineering

    Detecting the presence of objects for spatial orientation and avoiding them for mobility is extremely difficult for People with Visual Disabilities. 285 million people worldwide are estimated to have a visual disability, of which 39 million are blind and another 246 million have low vision. Many day-to-day tasks that the rest of the population consider routine, are in fact excessively complex for these individuals to perform. It is difficult to have a perception of space and to be able to navigate both indoors and outdoors safely, confidently and effectively without visual information about the surroundings. The use of smartphones is popular among the people with visual disabilities for simple navigational assistance such as finding the current location, and reading out directions which typically leverage the availability of GPS in outdoor environments. But when it comes to indoor environments there is a deficit of such GPS-based accurate location services and this makes it more challenging to localize themselves with respect to the environment and navigate from one location to another. Existing solutions rely on the user to scan the environment (e.g., Ultracane, Smartcane) and build and maintain a mental model of the environment. Additionally, due to their heavy computational needs and power-hungry sensors (e.g., stereo camera, lidar and radar), existing solutions require significant amount of energy leading to short usable periods between chargings unless heavy battery packs are carried. I present two solutions. The first one is a lightweight single camera-based solution for Localization & Navigation (VisualLoc) and the second is an inexpensive, power-efficient depth-mapping solution (CaneScanner) for assisting Visually Impaired in Indoor Environments. Together these two tools help to achieve the following: 1) find one's relative position (distance & direction) with respect to the objects in the environment and subsequently keeping track of these self-to-objec (open full item for complete abstract)
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    Committee: Prasun Sinha Dr. (Advisor); Rajiv Ramnath Dr. (Committee Member) Subjects: Computer Engineering; Computer Science

  • 3. Huff, Joel Absolute and Relative Navigation of an sUAS Swarm Using Integrated GNSS, Inertial and Range Radios

    Master of Science (MS), Ohio University, 2018, Electrical Engineering & Computer Science (Engineering and Technology)

    Small Unmanned Aircraft Systems (sUAS) are becoming very popular for solving a multitude of problems. As sUAS solutions are applied to more often, it is evident that multiple cooperative sUAS can be beneficial to certain tasks (surveillance, inspection, mapping). Unfortunately, operations involving multiple sUAS are inherently complex, requiring navigation solutions that are very accurate both in a relative and absolute sense for every member of the swarm. This thesis presents a method to use ultra-wideband (UWB) range radios to increase the relative position accuracy (and as a byproduct, absolute position accuracy) of the members of a swarm. A range radio system is also developed and analyzed, allowing simulations for testing this method. Finally, real flight data has been collected using multiple custom-built sUAS platforms and post-processed, allowing the filter to be analyzed using real world data.
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    Committee: Maarten Uijt de Haag (Advisor); Michael Braasch (Committee Member); Frank Van Graas (Committee Member); Geoffrey Dabelko (Committee Member) Subjects: Electrical Engineering

  • 4. Ashraf, Shahrukh Development of a Low-Cost Solution for the Navigation of UAVs in GPS-Denied Environment

    Master of Science, University of Toledo, 2016, Electrical Engineering

    Navigation is one of the most crucial tasks of an autonomous unmanned aerial vehicle (UAV). The ability of a UAV to navigate and fly precisely determines its utility and performance. The current navigation systems rely heavily on the Global Positioning System (GPS) and are prone to error because of GPS signal outages. However, advancements in onboard processing power have enabled inertial navigation algorithms to perform well during short GPS outages. This thesis proposes intelligent algorithms to provide the navigation capability during long GPS outages and through GPS-denied environments using optical flow and inertial sensors. Traditional optical flow measurement uses block matching for motion vector calculation that makes the measurement task computationally expensive and slow. This thesis proposes the application of artificial bee colony based block matching for faster optical flow measurement. To make the fusion of optical flow data with inertial sensors efficient, a modified form of Extended Kalman Filter (EKF) is employed. The modifications make the filter less noisy by dynamically assigning weights to multiple sensors. A high accuracy of approximately 95 percent for non-GPS navigation during experiments is achieved.
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    Committee: Hong Wang (Committee Chair); Devabhaktuni Vijay (Committee Co-Chair); Niamat Mohammed (Committee Member); Javaid Ahmad (Committee Member) Subjects: Electrical Engineering

  • 5. Vadlamani, Ananth Airborne Laser Scanner Aided Inertial for Terrain Referenced Navigation in Unknown Environments

    Doctor of Philosophy (PhD), Ohio University, 2010, Electrical Engineering (Engineering and Technology)

    A dead-reckoning terrain referenced navigation (TRN) system that uses airborne laser ranging sensors to aid an aircraft inertial navigation system (INS) is presented. Improved navigation performance is achieved through estimation of vehicle velocity and position using terrain measurements. The system only uses aircraft sensors and simultaneously performs the dual functions of mapping and navigation in unknown environments. The theory, algorithms and results of the system performance are presented using simulations and flight test data.This dissertation focuses primarily on the use of dual airborne laser scanners (ALS) for aiding an INS. Dual ALS measurements are used to generate overlapping terrain models, which are then used to estimate the INS velocity and position errors and constrain its drift. By keeping track of its errors, a navigation-grade INS is aided in a feed-forward manner. This dead-reckoning navigation algorithm is generic enough to be easily extendable to use other optical sensors. Data integrity, sensor alignment and the effects of vegetation noise, attitude and heading accuracy are analyzed. Furthermore, a feedback coupled aiding scheme is presented in which a tactical-grade inertial measurement unit (IMU) is aided with dual ALS measurements by feeding the estimated velocity back into the IMU computations. The proposed system can potentially serve as a backup during temporary Global Positioning System (GPS) signal outages, or it can be used to coast for extended periods of time. Although it has elements of conventional TRN, this system does not require a terrain database since its in-flight mapping capability generates the terrain data for navigation. Hence, the system can be used in both non-GPS as well as unknown terrain environments. The navigation system is dead-reckoning in nature and errors accumulate over time, unless the system can be reset periodically by geo-referenced terrain data or a position estimate from another navigation aid.
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    Committee: Maarten Uijt de Haag (Advisor) Subjects: Electrical Engineering

  • 6. Bates, Dustin Navigation Using Optical Tracking of Objects at Unknown Locations

    Master of Science (MS), Ohio University, 2007, Electrical Engineering & Computer Science (Engineering and Technology)

    In recent years, the development of intelligent ground vehicles (IGV), unmanned aerial vehicles (UAV) and interplanetary spacecraft has drastically increased the need for robust, precise and autonomous navigation systems. These systems need real time position, heading, and velocity information in a broad spectrum of environments with minimal error in order to successfully accomplish the complex tasks which they have been designed for. The Global Positioning System (GPS) has come to fulfill a vast amount of this need, providing global coverage with meter-level accuracy. Unfortunately, GPS is not perfect and has a few shortcomings which undermine its use in fulfilling the requirements that some systems demand. Minor obstruction of the signal by foliage, cityscape (typically called an “urban canyon”), or indoor environments block signals from the GPS satellites, greatly reducing the accuracy of the solution if not eliminating it all together. Considering that the signals from the satellites are below the noise floor, they are also very susceptible to interference, whether intentional or not. Since it is highly probable that IGV, UAV, and interplanetary spacecraft will be in such environments, there must be other sensors involved in the navigational solution that do not have the shortcomings of GPS and other similar systems. Inertial Measurement Units (IMUs) work in these environments, but have large drift errors over time. Laser ranging scanners, typically called LADAR, have been employed to solve aspects of these problems in various degrees of complexity and integration for over twenty years. The major benefits of using LADAR are low sensor noise, autonomy, its simultaneous use for obstacle avoidance, its ability to map its surroundings, and potential to bound the drift error of an IMU. Although much work has been done in localization and mapping using LADAR, the problem of creating a fully functional high integrity navigation solution has not been achieved. This thes (open full item for complete abstract)
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    Committee: Frank van Graas (Advisor) Subjects:

  • 7. Videmsek, Andrew Aircraft Based GPS Augmentation Using an On-Board RADAR Altimeter for Precision Approach and Landing of Unmanned Aircraft Systems

    Master of Science (MS), Ohio University, 2020, Electrical Engineering (Engineering and Technology)

    With a growing demand for large unmanned aircraft system operations in the national airspace system, a method to safely and automatically land unmanned aircraft at a wide range of airports with varying levels of equipage is still needed. Currently no navigation system is capable of a fully coupled precision approach and landing without the use of ground based navigational aids. To enable widescale adoption and usage of unmanned aircraft systems, an aircraft based augmentation system that provides precision approach and landing service without sacrificing safety is required to land the aircraft at all runways. This thesis proposes an aircraft based GPS augmentation system using an on-board downward facing radar altimeter for precision approach and landing of unmanned aircraft systems. The proposed architecture is initially evaluated using a simulation environment designed to test multiple different GNSS, radar altimeter, and terrain elevation database configurations. Following the offline simulation, a flight test analysis is completed testing the proposed architecture using pre-recorded flight test data at the Ohio University Airport (OH) and Reno-Tahoe International Airport (NV). Furthermore, this thesis provides a sensitivity study on the systematic errors in the augmentation system to better characterize and account for the inherent errors of the architecture's subsystems. This thesis then discusses modifications to the previously developed terrain database spot algorithm to better account for the characteristics of the selected radar altimeter. Finally, an approach for future certification is proposed followed by recommendations for further research on the topic.
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    Committee: Maarten Uijt de Haag Ph.D. (Advisor); Frank van Graas Ph.D. (Committee Member); Sabrina Ugazio Ph.D. (Committee Member); Justin Frantz Ph.D. (Committee Member) Subjects: Electrical Engineering; Engineering

  • 8. Moore, Meghan Vertical Navigation in the Whip Spider and Insights into its Sensory Control

    Master of Arts (MA), Bowling Green State University, 2019, Psychology/Experimental

    The sensory mechanisms underlying homing, the act of returning to a shelter after traveling to resource-rich areas, has been rigorously studied. Additionally, investigations into spatial encoding suggest the encoding of spatial information is dependent on how an organism moves through space. However, these studies have focused on organisms that are surface-bound and unfamiliar with navigating in the vertical plane. Amblypygids (whip spiders) successfully return to their home shelter after a night's horizontal journey on a forest floor and vertically on a home tree. As such, they are ideal animals to study navigation mechanisms used to home in both the horizontal and vertical dimensions. The purpose of this study was two-fold. The first was to examine homing fidelity on a vertical surface under laboratory conditions. The second was to investigate navigation in surface-bound organisms that are familiar with the vertical plane. Phrynus pseudoparvulus were placed individually in one of nine possible shelters positioned on a vertical surface and tracked for four nights to determine the extent to which P. pseudoparvulus successfully relocate their home shelter on the vertical plane. Subsequently, for four nights the home shelter was swapped with the location of an alternative shelter to determine whether cues originating from the home shelter, presumably chemical in nature, were more important than the actual location of the shelter, and the sensory cues indicating that location, in guiding homing to the shelter. We found that when presented with conflicting homing cues individuals preferred the original shelter over the original location. Additionally, animals made equal number of errors in the vertical and horizontal directions. Our results indicate that amblypygid's use homing cues originating from the home shelter, rather than homing cues directly associated with the location of the shelter. Furthermore, these results imply that the familiarity to the space rather t (open full item for complete abstract)
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    Committee: Verner Bingman Ph.D. (Advisor); Daniel Wiegmann Ph.D. (Committee Member); Jari Willing Ph.D. (Committee Member) Subjects: Archaeology; Behavioral Psychology; Biology; Organismal Biology

  • 9. Gutierrez, Arnold The role of dopamine receptors in methamphetamine-induced cognitive deficits

    PhD, University of Cincinnati, 2018, Medicine: Neuroscience/Medical Science Scholars Interdisciplinary

    Methamphetamine (MA) is an addictive psychostimulant that produces cognitive impairment after prolonged use. Dopamine receptors in the neostriatum have been identified as targets for preventing MA-induced neurotoxicity, however no data exists that these protective effects translate to cognitive protection. Animal models of MA-induced cognitive deficits have been developed, however studies using the Morris water maze (MWM), which is an important model of hippocampal-based L&M, have produced mixed results. The aim of the present work is to examine the viability of targeting striatal dopamine receptors to protect against MA-induced L&M deficits in adult male rats. We first determined whether a large (244 cm in diameter) MWM would be capable of detecting MA effects after a 4 x 10 mg/kg MA at 2 h intervals dosing regimen and if housing affected these effects. Next, we assessed the ability of a single high dose (40 mg/kg) of MA in producing egocentric and allocentric L&M deficits and whether MA would shift strategic dominance. Finally, we tested whether pretreatment with dopamine D1 receptor (DRD1) or dopamine D2 receptor (DRD2) antagonists directly into the neostriatum prior to MA would attenuate MA-induced neurobehavioral deficits. We show that MA effects are detectable in the large MWM for both types of dosing strategies and that a single high dose of MA produces deficits in egocentric and allocentric navigation as well as prevents a consistent navigation strategy from being utilized. We also demonstrate attenuation by both types of antagonists on MA-evoked deficits in egocentric and allocentric L&M and on striatal dopamine depletion. To our knowledge, this is the first report showing attenuation of MA-induced cognitive effects by blockade of dopamine receptors in the striatum.
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    Committee: Michael Williams Ph.D. (Committee Chair); Gary Gudelsky Ph.D. (Committee Member); Renu Sah Ph.D. (Committee Member); Kim Seroogy Ph.D. (Committee Member); Charles Vorhees Ph.D. (Committee Member) Subjects: Neurology

  • 10. Yen, Shih-Wei Two-Satellite Positioning with a Stable Frequency Reference, Altimeters, and Bistatic Satellite Altimetry

    Doctor of Philosophy (PhD), Ohio University, 2017, Electrical Engineering & Computer Science (Engineering and Technology)

    This dissertation investigates the feasibility of completing an aircraft precision approach using two GNSS satellites in combination with a Stable Frequency Reference (SFR) and various altimeters. Two different sensor combinations are implemented for altimetry. The first combination uses both barometric and radar altimeters to provide height estimates, which are integrated with Global Navigation Satellite Systems (GNSS) satellites from different constellations with a SFR for positioning. Before the start of the approach, a full GNSS solution is used to calibrate the SFR and the vertical solution relative to the aircraft touchdown point (ATP). The theoretical clock and position error covariance is derived as a function of measurement error, satellite geometry, SFR stability, barometric height and radar altimeter performance. Detailed error models for each of the navigation sensors are developed for a covariance analysis. This is followed by both simulations and evaluations using flight test data to verify the positioning accuracy and the feasibility of completing an aircraft precision approach with only two satellites from different constellations. With respect to Category I precision approach requirements of 16 m (95%) horizontal and 4 m (95%) vertical, the horizontal radial 2-σ positioning performance is approximately 6 m, while the vertical 2-σ positioning performance is approximately 4 m. The second sensor combination uses GPS reflection measurements from a software defined receiver (SDR) for aircraft passive bistatic altimetry, and a SFR to continue navigation when only two GPS satellites are available. The scenario for this combination is focused on flights over water, which provides strong reflected signals while alternate terrestrial radio navigation signals are generally not available. Theoretical clock and position error covariance are derived as a function of measurement error, satellite geometry, SFR stability, and GPS bistatic altimetry performance. T (open full item for complete abstract)
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    Committee: Frank van Graas (Advisor); Maarten Uijt de Haag (Advisor); Michael Braasch (Committee Member); Douglas Lawrence (Committee Member) Subjects: Electrical Engineering

  • 11. Dill, Evan GPS/Optical/Inertial Integration for 3D Navigation and Mapping Using Multi-copter Platforms

    Doctor of Philosophy (PhD), Ohio University, 2015, Electrical Engineering (Engineering and Technology)

    As the potential use of autonomous unmanned aerial vehicles (UAVs) has become more prevalent in both the public and private sectors, the need for a reliable three-dimensional (3D) positioning, navigation, and mapping (PNM) capability will be required to enable operation of these platforms in challenging environments where the Global Positioning System (GPS) may not necessarily be available. Especially, when the platform's operational scenario involves motion through different environments like outdoor open-sky, outdoor under foliage, outdoor-urban and indoor, and includes transitions between these environments, there may not be one particular method to solve the PNM problem. In this dissertation we are not solving the PNM problem for every possible environment, but select a couple of dissimilar sensor technologies to design and implement an integrated navigation and mapping method that can support reliable operation in an outdoor and structured indoor environment. The integrated navigation and mapping design is based on a Global Positioning System (GPS) receiver, an Inertial Measurement Unit (IMU), a monocular digital camera, and three short to medium range laser scanners. To evaluate the developed algorithms a hexacopter was built, equipped with the above sensors, and both hand-carried and flown through the target environments. This dissertation will show that dm-level relative positioning accuracies can be achieved for operations traversing a building, and that when segments are included where GPS is available, the platform's trajectory and map will be globally anchored with m-level accuracy.
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    Committee: Maarten Uijt de Haag (Advisor); Frank van Graas (Committee Member); Wouter Pelgrum (Committee Member); Douglas Lawrence (Committee Member) Subjects: Electrical Engineering

  • 12. Saffell, Tiffany In-Car Navigation Systems: The Effects of Landmark Specificity and Map Rotation on Spatial Knowledge and Route Acquisition

    Master of Science (MS), Wright State University, 2008, Human Factors and Industrial/Organizational Psychology MS

    Current in-car navigation systems do not refer to environmental landmarks when providing directions to drivers. Instead, they provide guidance by presenting drivers with distance-to-turn information. Default displays use track-up map orientations. These display conditions do not facilitate the acquisition of spatial knowledge. As a consequence, drivers using these systems are unlikely to acquire spatial knowledge needed to judge the reasonableness of the directions they are receiving, leaving them susceptible to accepting directions that are grossly incorrect and dangerous (Forbes and Burnett, 2007). Landmarks have been shown to be critical sources of information when people acquire both route and configural spatial knowledge. By providing landmark information, route and configural knowledge acquisition could potentially be enhanced. Two experiments compared the use of specific landmarks versus generic landmarks. Measures of both configural and route knowledge were obtained. Landmarks were presented either generically or specifically in voice directions or as visual icons on the display. Both Hunt's distinctiveness theory (1993, 2003) and Paivio's dual-coding theory (1973, 2006) indicate that participants hearing specific voice directions while simultaneously viewing specific visual icons would perform better than those experiencing the other combinations. The two experiments produced conflicting results. Experiment 1 found large effects of both landmark specificity and map orientation. Participants acquired better configural spatial knowledge with specific than generic visual icons. Also, north-up maps led to better configural spatial knowledge than track-up maps. Experiment 2, which modified the procedure somewhat, found no reliable differences.
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    Committee: Herbert Colle Ph. D. (Advisor); Kevin Bennett Ph. D. (Committee Member); Valerie Shalin Ph. D. (Committee Member) Subjects: Behaviorial Sciences; Psychology; Technology; Transportation

  • 13. Muralidharan, Aravind Sonar Based Navigation: Follow the Leader for Bearcat III

    MS, University of Cincinnati, 2001, Engineering : Industrial Engineering

    Autonomous robots with mobile capability are finding lot of applications in manufacturing, medicine, space and defense. Design of such a robot is truly a daunting task. The issue is complex because the robot has to interact with its environment when performing the task One of the possible application for a robot might entail moving the robot through a dynamically decided safe path. Such navigation could be seen as a guiding of a series of mobile robots to a desired destination along a just decided safe path. Numerous research works has been done in the area of path planning and obstacle avoidance algorithms for navigating a robot intelligently through a unknown, unexplored Environment. This research work was done towards fulfilling the requirement of designing a mobile robot to follow a moving leader. The Center for Robotics Research at the University of Cincinnati has built a mobile robot named Bearcat II for the International Ground Robotics Competition being conducted by the Association for Unmanned Ground Systems (AUVS) every year. The objective is to make the Bearcat II follow a lawn mower driven by one of the judges while maintaining a safe distance of about 3 meters. A Polaroid ultrasonic transducer mounted on a micro-motor with an encoder feedback was used to track the co-ordinates and motion of the leader and the steering system is suitably adjusted for re-orienting the robot and to maintain the fixed distance between the robot and the leader. The readings of the sonar at the known adjustable angles are translated to the co-ordinate and relative motion of the leader. The Galil DMC controller suitably drives the left and right motor to steer the robot in the proper direction and at proper speed. This design yields a portable independent system, which could be suitably integrated or replaced with any different kind of sensor like a laser sensor, which could ascertain the position and motion of the leader.
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    Committee: Dr. Ernie Hall (Advisor) Subjects: Engineering, Industrial

  • 14. Sethuramasamyraja, Balaji GPS Based Waypoint Navigation for an Autonomous Guided Vehicle – Bearcat III

    MS, University of Cincinnati, 2003, Engineering : Industrial Engineering

    One of the major challenges in designing intelligent vehicles capable of autonomous travel on highways is reliable global positioning system (GPS) based navigation. GPS extends use, both as geographic information and navigational system for a ground based mobile robot, Bearcat III. Experiments were conducted in Bearcat III, for waypoint navigation using Garmin GPS 76. RS232 interface connects the GPS system to the main control computer. A mapping program defines a desired route and GPS information was used to update the control points of the mobile robot using a reinforcement learning method. Local position updates were used when found in the environment. Extended use of GPS to local vehicle control that requires more resolution that is available from the raw data using the adaptive control method was significant. The systems were tested in July 2002 at the International Ground Robotics Competition.
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    Committee: Dr. Ernest L. Hall (Advisor) Subjects:

  • 15. Dill, Evan Integration of 3D and 2D Imaging Data for Assured Navigation in Unknown Environments

    Master of Science (MS), Ohio University, 2011, Electrical Engineering (Engineering and Technology)

    As technology advances in the area of mobile vehicles, the need for precise reliable navigation increases with it. Whether the vehicle is an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV), or an intelligent ground vehicle (IGV), there is a constant need for precise navigation capabilities. This need spurred the invention and development of many navigation systems including the most useful system to date, the Global Positioning System (GPS). GPS is a powerful tool that can reliably give meter level accuracy on a world-wide scale. With this capability, GPS is the answer to a significant number of navigation problems, but it is not the answer to them all. Since GPS relies on exterior signals from orbiting satellites, tasks such as underground navigation and navigation in dense foliage can be difficult due to signal strength attenuation as it passes through these media. GPS is also very susceptible to multipath at the receiver. If the receiver is operating in a building or in a heavy urban environment, the multipath created can degrade the received signal to the point of losing its true capabilities. Lastly, GPS capabilities are ideal for military applications. However, any system that uses exterior signals for military applications must deal with the possibility of interference, jamming, or even an attack on the system in a wartime scenario. Although, the list of scenarios in which GPS is not a viable answer is small, it is important that those scenarios be addressed. One viable possibility is developing a new system that complements GPS by having functionality in scenarios in which GPS is a poor option or not an option at all. This thesis describes and discusses one such possibility that could complement GPS. The proposed system is a self contained system that would use multiple sensors and the environment around them for navigation. This method would integrate three-dimensional (3D) point cloud data, two-dimensional (2D) gray-level (intensity) data, 2D (open full item for complete abstract)
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    Committee: Maarten Uijt de Haag (Advisor); Frank van Graas (Committee Member); Wouter Pelgrum (Committee Member); Vardges Melkonian (Committee Member) Subjects: Electrical Engineering

  • 16. Kaul, Rajan Comparison of great circle and rhumb line flight paths in the continental united states using simulation and flight tests

    Master of Science (MS), Ohio University, 1984, Electrical Engineering & Computer Science (Engineering and Technology)

    Comparison of great circle and rhumb line flight paths in the continental united states using simulation and flight tests

    Committee: Robert Lilley (Advisor) Subjects:

  • 17. Oguri, Fujiko Area navigation implementation for a microcomputer-based Loran-C receiver

    Master of Science (MS), Ohio University, 1983, Electrical Engineering & Computer Science (Engineering and Technology)

    Area navigation implementation for a microcomputer-based Loran-C receiver.

    Committee: Richard McFarland (Advisor) Subjects:

  • 18. Li, Jian Investigating the effect of the DGNSS SCAT-I data link on VOR signal reception

    Master of Science (MS), Ohio University, 1996, Electrical Engineering & Computer Science (Engineering and Technology)

    Investigating the effect of the DGNSS SCAT-I data link on VOR signal reception

    Committee: Trent Skidmore (Advisor) Subjects:

  • 19. Bhanot, Sunil Implementation and optimization of a Global Navigation Satellite System software radio

    Master of Science (MS), Ohio University, 1998, Electrical Engineering & Computer Science (Engineering and Technology)

    Implementation and optimization of a Global Navigation Satellite System software radio

    Committee: Michael Braasch (Advisor) Subjects:

  • 20. Akos, Dennis A software radio approach to Global Navigation Satellite System receiver design

    Doctor of Philosophy (PhD), Ohio University, 1997, Electrical Engineering & Computer Science (Engineering and Technology)

    The software radio has been described as the most significant evolution in receiver design since the development of the superheterodyne concept in 1918. The software radio design philosophy is to position an analog-to-digital converter (ADC) as close to the antenna as possible and then process the samples using a combination of software and a programmable microprocessor. There are a number of important advantages to be gained through full exploitation of the software radio concept. The most notable include: 1) The removal of analog signal processing components and their associated nonlinear, temperature-based, and age-based performance characteristics. 2) A single antenna/front-end configuration can be used to receive and demodulate a variety of radio frequency (RF) transmissions. 3) The software radio provides the ultimate simulation/testing environment. Global Navigation Satellite Systems (GNSSs) are the latest and most complex radionavigation systems in widespread use. The United States' Global Positioning System (GPS) and, to a lesser extent, the Russian Global Orbiting Navigation Satellite System (GLONASS) are being targeted for use as next generation aviation navigation systems. As a result, it is critical that a GNSS achieve the reliability and integrity necessary for use within the aerospace system. The receiver design is a key element in achieving the high standards required. This work presents the complete development of a GNSS software radio. A GNSS receiver front end has been constructed, based on the software radio design goals, and has been evaluated against the traditional design. Trade-offs associated with each implementation are presented along with experimental results. Novel bandpass sampling front end designs have been proposed, implemented and tested for the processing of multiple GNSS transmissions. Finally, every aspect of GNSS signal processing has been implemented in software from the necessary spread spectrum acquisition algorithms to those (open full item for complete abstract)
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    Committee: Michael Braasch (Advisor) Subjects: