Radar target image resolution enhancement via propagation channel equalization

Edmund A. Quincy; Roger A. Dalke; Robert Achatz; Christopher Holloway; P. M. McKenna

doi:10.1117/12.257244

5 November 1996 Radar target image resolution enhancement via propagation channel equalization

Edmund A. Quincy, Roger A. Dalke, Robert Achatz, Christopher Holloway, P. M. McKenna

Proceedings Volume 2845, Radar Processing, Technology, and Applications; (1996) https://doi.org/10.1117/12.257244
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

The performance of signal/image processing algorithms used to form radar images and identify targets depends on propagation effects such as time-varying multipath, dispersion, attenuation, etc. In this paper, the effects of multipath propagation conditions that result from terrain or man-made environments and noise are modeled and simulated to determine their effects on radar target signatures. Here, we calculate the radar signatures for a ground vehicle subject to the deleterious effects of both multipath and additive noise. A minimum mean-square-error Wiener equalizing filter is developed and applied to the distorted radar target signatures. The mean-square-error is calculated as a function of signal-to-noise ratio and compared for several cases to demonstrate the potential for improvement in radar image resolution. These techniques are particularly relevant for targets located in mountain or urban canyon environments.

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Edmund A. Quincy, Roger A. Dalke, Robert Achatz, Christopher Holloway, and P. M. McKenna "Radar target image resolution enhancement via propagation channel equalization", Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); https://doi.org/10.1117/12.257244

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