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
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