DocumentCode :
1124353
Title :
Bayes Optimum and Maximum-Likelihood Approaches in an Array Processing Problem
Author :
Hodgkiss, William S. ; Nolte, Loren W.
Author_Institution :
Duke University Durham, N.C. 27706
Issue :
5
fYear :
1975
Firstpage :
913
Lastpage :
916
Abstract :
A comparison of the structure and performance of two detectors for an array processing problem is discussed. The first is optimal for detection performance in the Bayesian sense and the second models a maximum-likelihood (beam-forming) approach. Of particular interest is the loss in performance due to nonoptimal processing.
Keywords :
Array signal processing; Clutter; Control systems; Detectors; Information theory; Maximum likelihood detection; Maximum likelihood estimation; Radar detection; Radar signal processing; Sensor arrays;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1975.308004
Filename :
4101508
Link To Document :
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