DocumentCode :
1147502
Title :
Weak Signal Detection in Non-Gaussian Noise of Unknown Level
Author :
Ning Hsing Lu ; Eisenstein, B.A.
Author_Institution :
ITT Avionics 390 Washington Avenue Nutley, NJ 07110
Issue :
6
fYear :
1984
Firstpage :
830
Lastpage :
834
Abstract :
An adaptive threshold detector to test for the presence of a weak signal in additive non-Gaussian noise of unknown level is discussed. The detector consists of a locally optimum detector, a noise level estimator, and a decision device. The detection threshold is made adaptive according to the information provided by the noise level estimator in order to keep a fixed false-alarm probability. Asymptotic performance characteristics are obtained indicating relationships among the basic system parameters such as the reference noise sample size and the underlying noise statistics. It is shown that, as the reference noise sample size is made sufficiently large, the adaptive threshold detector attains the performance of a corresponding locally optimum detector for detecting the weak signal were the noise level known.
Keywords :
Adaptive signal detection; Detectors; Gaussian noise; Noise level; Signal detection; Signal processing; Stability; Statistical analysis; Testing; Working environment noise;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1984.310470
Filename :
4103993
Link To Document :
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