DocumentCode :
3430024
Title :
Optimal invariant detection of a monochromatic plane wave with five unknown parameters
Author :
Zibin Yu ; Lei Cheng ; Hangfang Zhao ; Xianyi Gong
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
58
Lastpage :
62
Abstract :
This paper analyzes the problem of detecting a monochromatic plane wave with unknown amplitude, phase, temporal frequency and direction of arrival (DOA) in complex white Gaussian noise with unknown variance. The uniformly-most-powerful-invariant (UMPI) test is derived by using statistical invariance principle but doesn´t exist unless the signal-to-noise ratio (SNR) is known. However, it provides performance bound to evaluate any invariant test´s performance when SNR is unknown. Typically, the generalized-likelihood-ratio-test (GLRT) and locally-most-powerful-invariant (LMPI) test are derived in this paper as realizable suboptimal invariant tests with their performance comparison in different SNR through theoretical analysis. Simulation examples corroborate our analysis and indicate that the GLRT is close to the UMPI bound especially in the low-probability-of-false-alarm region of the receiver operating characteristic (ROC) curve while the performance of LMPI test is close to that of UMPI test in low SNR region.
Keywords :
Gaussian noise; array signal processing; direction-of-arrival estimation; probability; signal detection; statistical testing; white noise; DOA estimation; GLRT; LMPI test; ROC curve; SNR; UMPI test; complex white Gaussian noise; direction of arrival estimation; generalized-likelihood-ratio-test; locally-most-powerful-invariant test; low-probability-of-false-alarm region; monochromatic plane wave detection; optimal invariant detection; receiver operating characteristic curve; signal-to-noise ratio; statistical invariance principle; suboptimal invariant tests; temporal array signal processing; temporal frequency; uniformly-most-powerful-invariant test; unknown amplitude; unknown variance; Arrays; Detectors; Modulation; Signal detection; Signal to noise ratio; Optimal invariant detection; spatial and temporal array signal processing; spatial-temporal periodogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625297
Filename :
6625297
Link To Document :
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