DocumentCode :
809970
Title :
Detection of the number of sources at low signal-to-noise ratio
Author :
Gu, J.-F. ; Wei, P. ; Tai, H.-M.
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu Sichuan
Volume :
1
Issue :
1
fYear :
2007
fDate :
3/1/2007 12:00:00 AM
Firstpage :
2
Lastpage :
8
Abstract :
A new method to detect the number of sources in array signal processing is proposed. Most source detection techniques perform reasonably well at medium or high signal-to-noise ratio (SNR), but not at low SNR. This method exploits eigenvectors, instead of sample eigenvalues, for source enumeration. It employs the blind beamforming technique and the peak-to-average power ratio based frequency estimation algorithm to estimate the number of sources. Simulation results show that the proposed method is superior to the minimum description length and predictive description length algorithms at low SNR
Keywords :
array signal processing; frequency estimation; signal detection; signal sources; SNR; array signal processing; blind beamforming technique; frequency estimation algorithm; peak-to-average power-ratio; signal-to-noise ratio; source detection techniques; source enumeration;
fLanguage :
English
Journal_Title :
Signal Processing, IET
Publisher :
iet
ISSN :
1751-9675
Type :
jour
DOI :
10.1049/iet-spr:20060019
Filename :
4159610
Link To Document :
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