DocumentCode :
1127191
Title :
Adaptive Detection Algorithms for Multiple-Target Situations
Author :
Rickard, John T. ; Dillard, George M.
Author_Institution :
ORINCON Corporation
Issue :
4
fYear :
1977
fDate :
7/1/1977 12:00:00 AM
Firstpage :
338
Lastpage :
343
Abstract :
The performance of a mean-level detector is considered for the case where one or more interfering target returns are present in the set of cells used in estimating the clutter-plus-noise level. A serious degradation of detection probability is demonstrated for all of the single-pulse Swerling target fluctuation models (i. e., cases 0, 2, and 4). Indeed, for fixed mean radar cross sections of the primary and interfering targets, the probability of detecting the primary target is asymptotic to values significantly less than unity as the signal-to-noise ratios of the returns approach infinity. A class of alternative adaptive detection procedures is proposed and analyzed. These procedures, based on ranking and censoring techniques, maintain acceptable performance in the presence of interfering targets, and require only a minor addition in hardware to a conventional mean-level detector.
Keywords :
Clutter; Degradation; Detection algorithms; Detectors; Doppler radar; Fluctuations; Hardware; Laboratories; Radar cross section; Radar detection;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1977.308466
Filename :
4101821
Link To Document :
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