Publication Date

2023

Document Type

Thesis

Committee Members

Michael A. Saville, Ph.D. (Advisor); Yan Zhuang, Ph.D. (Committee Member); Elliott R. Brown, Ph.D. (Committee Member)

Degree Name

Master of Science in Electrical Engineering (MSEE)

Abstract

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.

Page Count

90

Department or Program

Department of Electrical Engineering

Year Degree Awarded

2023

ORCID ID

0009-0009-4235-2649


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