DocumentCode :
290446
Title :
Detection of weak stochastic signals in non-Gaussian noise: a general result
Author :
Schultheiss, Peter M. ; Godara, Lal C.
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume :
iv
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
The paper studies the performance of a locally optimum detector namely, the generalized energy detector and shows that its performance starts to deteriorate as the signal to noise ratio increases beyond a certain level. The study has been carried out to cover a much broader class of signal and noise distributions than allowed in previous studies to conclude that the performance of the generalized energy detector can become poorer than that of the power detector well within the practical range of signal to noise ratios and the apparently large gains predicted by the asymptotic theory may not be reachable in practice
Keywords :
interference (signal); signal detection; stochastic systems; asymptotic theory; generalized energy detector; locally optimum detector; noise distributions; nonGaussian noise; performance; power detector; signal distributions; signal to noise ratio; weak stochastic signals; Additive noise; Australia; Detectors; Educational institutions; Independent component analysis; Performance gain; Probability density function; Random variables; Signal to noise ratio; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389806
Filename :
389806
Link To Document :
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