DocumentCode :
1749406
Title :
Uniformly most powerful cyclic permutation invariant detection for discrete-time signals
Author :
Nicolls, E. ; de Jager, G.
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
Volume :
5
fYear :
2001
fDate :
2001
Firstpage :
3165
Abstract :
The uniformly most powerful invariant (UMPI) test is derived for detecting a target with unknown location in a noise sequence. This test has the property that for each possible target location it has the greatest power of all tests which are invariant to cyclic permutations of the observations. The test is compared to the generalised likelihood ratio test (GLRT), which is commonly used as a solution to this detection problem. Monte-Carlo simulations show that the powers of the two tests are comparable, thereby justifying near-optimality of the GLRT
Keywords :
Monte Carlo methods; matrix algebra; sequences; signal detection; GLRT; Monte-Carlo simulations; UMPI test; cyclic permutations; discrete-time signals; generalised likelihood ratio test; noise sequence; target detection; uniformly most powerful invariant test; unknown location; Africa; Cities and towns; Detectors; Image processing; Signal detection; Signal processing; Statistical analysis; Statistical distributions; Testing; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940330
Filename :
940330
Link To Document :
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