DocumentCode :
2742792
Title :
Estimation of the number of narrowband signals in the presence of multipath propagation
Author :
Tao, Hao ; Xin, Jingmin ; Wang, Jiasong ; Zheng, Nanning ; Sano, Akira
Author_Institution :
Inst. of Artificial Intell. & Robot., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2012
fDate :
17-20 June 2012
Firstpage :
489
Lastpage :
492
Abstract :
In this paper, we address with the problem of detection the number of narrowband signals impinging on a uniform linear array (ULA) in the presence of multipath propagation. Firstly, by forming a differencing matrix from the array covariance matrix to eliminate the effects of uncorrelated incident signals and additive noises, a combined matrix is constructed from this differencing matrix to decorrelate the coherence of signals. Since the number of coherent signals is revealed as the rank of this resultant matrix, a singular value based ratio criterion is proposed to estimate the number of coherent signals. Then, another singular value based ratio criterion is also presented to determine the number of uncorrelated signals from the array covariance matrix. The notable advantage of the proposed method is that it can detect more signals compared to some existing methods, and the number of signals resolved by our method can exceed the number of array sensors.
Keywords :
array signal processing; covariance matrices; signal denoising; signal detection; singular value decomposition; ULA; additive noise elimination; array covariance matrix; array sensors; coherent signal decorrelation; differencing matrix; multipath propagation; narrowband signal detection; narrowband signal estimation; singular value based ratio criterion; uncorrelated incident signal effect elimination; uniform linear array; Additive noise; Arrays; Covariance matrix; Decorrelation; Estimation; Narrowband; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
ISSN :
1551-2282
Print_ISBN :
978-1-4673-1070-3
Type :
conf
DOI :
10.1109/SAM.2012.6250546
Filename :
6250546
Link To Document :
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