RCS feature extraction from simple targets using time-frequency analysis

James L. Rasmussen; Randy L. Haupt; Michael J. Walker

doi:10.1117/12.257246

5 November 1996 RCS feature extraction from simple targets using time-frequency analysis

James L. Rasmussen, Randy L. Haupt, Michael J. Walker

Proceedings Volume 2845, Radar Processing, Technology, and Applications; (1996) https://doi.org/10.1117/12.257246
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Radar target identification requires the processing of a large amount of data. Radar cross section alone is a function of time/frequency, aspect angle, and polarization. Storing all this data as well as processing it for identification is an extremely difficult task. The goal of this research is to analyze the RCS of simple targets in the time/frequency domain to identify which time/frequency algorithms best highlight distinguishing target characteristics. We have taken extensive RCS measurements on simple objects, such as spheres, cubes, pyramids and corner reflectors, and processed the data using Fourier and wavelet transforms. In most instances, the data can be significantly compressed.

Citation Download Citation

James L. Rasmussen, Randy L. Haupt, and Michael J. Walker "RCS feature extraction from simple targets using time-frequency analysis", Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); https://doi.org/10.1117/12.257246

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