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Performance of Hybrid LMS Control Algorithm for Smart Antennas

Dauga, Salah
http://orcid.org/0000-0002-5483-6802
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1664550407346233

Abstract Details

2022, Doctor of Engineering, University of Dayton, Electrical and Computer Engineering.
Beamforming is a technique in which an array of antennas is exploited to achieve maximum reception in a specified direction by estimating the signal arrival from a desired direction (in the presence of noise) while signals of the same frequency from other directions are rejected. This is achieved by varying the weights of each of the sensors (antennas) used in the array. It basically uses the idea that, though the signals emanating from different transmitters occupy the same frequency channel, they still arrive from different directions. This spatial separation is exploited to separate the desired signal from the interfering signals. In adaptive beamforming the optimum weights are iteratively computed using complex algorithms based upon different criteria. Several adaptive filter structures are proposed for noise cancellation; however, the present research uses a hybrid least square algorithm (HLMS). The main objective of this adopting this algorithm in this system is to utilize the filter weights w[i] for two algorithms, which are LMS and Sign error algorithms. These use a hybrid LMS (HLMS) algorithm to adjust filter weights according to mean filter weights. Fur- thermore, simulation studies show that the HLMS algorithm gives better performance as compared to LMS and Sign error algorithms. Finally, the validity of the proposed algorithm is illustrated using three numerical examples. 3
Guru Subramanyam (Committee Chair)
127 p.
Academic Guidance Counseling; Electrical Engineering
signal-to-interference plus-noise hybrid least square algorithm least square algorithm

Recommended Citations

Citations

  • Dauga, S. (2022). Performance of Hybrid LMS Control Algorithm for Smart Antennas [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1664550407346233

    APA Style (7th edition)

  • Dauga, Salah. Performance of Hybrid LMS Control Algorithm for Smart Antennas. 2022. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1664550407346233.

    MLA Style (8th edition)

  • Dauga, Salah. "Performance of Hybrid LMS Control Algorithm for Smart Antennas." Doctoral dissertation, University of Dayton, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1664550407346233

    Chicago Manual of Style (17th edition)

dayton1664550407346233
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This open access ETD is published by University of Dayton and OhioLINK.
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