DocumentCode :
1147206
Title :
Evaluating Radar Detection Probabilities by Steepest Descent Integration
Author :
Helstrom, Carl W. ; Ritcey, James A.
Author_Institution :
University of California, San Diego
Issue :
5
fYear :
1984
Firstpage :
624
Lastpage :
634
Abstract :
The probability of detection for radars employing noncoherent integration and a fixed threshold or cell-averaging constant false alarm rate (CA-CFAR) processor is computed by numerical contour integration in the complex plane. The technique is applied to both nonfluctuating and chi-squared fluctuating targets. A bound on the truncation error allows for a simple stopping rule for the numerical integration. The method has applicability to many problems in radar detection theory.
Keywords :
AWGN; Additive white noise; Detectors; Distributed computing; Finite wordlength effects; Military computing; Probability; Radar detection; Random variables; Statistics;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1984.310530
Filename :
4103963
Link To Document :
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