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Proceedings Paper

Adaptive radar CFAR using signal-based suppression
Author(s): Oleg Brovko; Trung T. Nguyen; Yong E. Whang
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Paper Abstract

The primary basis for adaptive radar algorithm design is that (1) a binary hypothesis formulation with unknown parameters is an adequate test and (2) that radar interference is composed of combinations of thermal noise, self-induced clutter, and extraneous noise. This is the typical generalized likelihood formulation that yield the CFAR characteristic for the assumed conditions. Implementations have shown that such formulations yield inadequate performance in complex clutter environments. As compensation measure, a secondary CFAR process then addresses the potential violation of this assumption by large 'target-like' interference such as large clutter discretes or a large number of targets interfering with each other. In order to detect small targets, an approach based on the likelihood statistic provides a technique for optimally suppressing the neighboring large signals. Performance is characterized as a function of a generalized distance and relative signal power ratios in the joint space-time domain.

Paper Details

Date Published: 24 October 1997
PDF: 12 pages
Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); doi: 10.1117/12.292743
Show Author Affiliations
Oleg Brovko, Hughes Aircraft Co. (United States)
Trung T. Nguyen, Hughes Aircraft Co. (United States)
Yong E. Whang, Hughes Aircraft Co. (United States)


Published in SPIE Proceedings Vol. 3162:
Advanced Signal Processing: Algorithms, Architectures, and Implementations VII
Franklin T. Luk, Editor(s)

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