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Proceedings Paper

Radar target image resolution enhancement via propagation channel equalization
Author(s): Edmund A. Quincy; Roger A. Dalke; Robert Achatz; Christopher Holloway; P. M. McKenna
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Paper 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.

Paper Details

Date Published: 5 November 1996
PDF: 12 pages
Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); doi: 10.1117/12.257244
Show Author Affiliations
Edmund A. Quincy, U.S. Dept. of Commerce (United States)
Roger A. Dalke, U.S. Dept. of Commerce (United States)
Robert Achatz, U.S. Dept. of Commerce (United States)
Christopher Holloway, U.S. Dept. of Commerce (United States)
P. M. McKenna, Electro Magnetic Applications Inc. (United States)


Published in SPIE Proceedings Vol. 2845:
Radar Processing, Technology, and Applications
William J. Miceli, Editor(s)

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