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Proceedings Paper

Experimental comparison of likelihood ratio and CFAR detectors for multifrequency radar data fusion
Author(s): Stelios C.A. Thomopoulos; Michele Reger Keller
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Paper Abstract

In a series of papers Thomopoulos and Okello have designed and evaluate a robust CFAR detector (code-named RobCFAR) for multi-frequency radar data. Validation of the detector/fuser was done using experimental data from the Rome Lab Predetection Fusion Program. In this paper the optimal centralized ad distributed detectors for the same multi- frequency radar data are developed and their performance is compared with that of the RobCFAR detectors. Several problems occur due to the necessity of on-line evaluation of data statistics. These problems are addressed and a comparison is made between the optimal and CFAR data fusion techniques using the experimental data from the Rome Lab Predetection Fusion Program.

Paper Details

Date Published: 14 June 1996
PDF: 9 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243166
Show Author Affiliations
Stelios C.A. Thomopoulos, The Pennsylvania State Univ. (United States)
Michele Reger Keller, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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