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Prediction of Ka-band Radar Cross Section with THz Scale Models with Varying Surface Roughness

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2023, Master of Science in Electrical Engineering (MSEE), Wright State University, Electrical Engineering.
Radar cross section (RCS) of electrically large targets can be challenging and expensive to measure. The use of scale models to predict the RCS of such large targets saves time and reduces facility requirements. This study investigates Ka-band (27 to 29 GHz) RCS prediction from scale model measurements at 500 to 750 GHz. Firstly, the coherent quasi-monostatic turntable RCS measurement system is demonstrated. Secondly, three aluminum 18:1 scale dihedrals with surface roughness up to 218 icroinches are measured to investigate how the roughness affects the Ka-band prediction. The measurements are compared to a parametric scattering model for the specular response, and indicate that the models’ surface roughness have negligent effect on the RCS prediction.
Michael A. Saville, Ph.D. (Advisor)
Yan Zhuang, Ph.D. (Committee Member)
Elliott R. Brown, Ph.D. (Committee Member)
90 p.

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Citations

  • Huebner, A. J. (2023). Prediction of Ka-band Radar Cross Section with THz Scale Models with Varying Surface Roughness [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1691507161716014

    APA Style (7th edition)

  • Huebner, Andrew. Prediction of Ka-band Radar Cross Section with THz Scale Models with Varying Surface Roughness. 2023. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1691507161716014.

    MLA Style (8th edition)

  • Huebner, Andrew. "Prediction of Ka-band Radar Cross Section with THz Scale Models with Varying Surface Roughness." Master's thesis, Wright State University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=wright1691507161716014

    Chicago Manual of Style (17th edition)