DocumentCode :
178292
Title :
A computationally efficient source localization method for a mixture of near-field and far-field narrowband signals
Author :
Weiliang Zuo ; Jingmin Xin ; Jiasong Wang ; Nanning Zheng ; Sano, Akihide
Author_Institution :
Inst. of Artificial Intell. & Robot., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
2257
Lastpage :
2261
Abstract :
In this paper, we consider the source localization for a mixed near-field (NF) and far-field (FF) narrowband signals impinging on a uniform linear array (ULA) with the symmetrical geometric configuration. A computationally efficient direction-of-arrivals (DOAs) and range estimation method for the mixed NF and FF signals is proposed, where the DOAs of the NF and FF signals are estimated separately, and the computationally burdensome eigendecomposition is avoided. Comparing to some existent methods, the proposed method can separate the NF signals from the FF signals more efficiently, and consequently the estimation performance is improved. The effectiveness of the proposed method is verified though numerical examples.
Keywords :
direction-of-arrival estimation; eigenvalues and eigenfunctions; DOA; computationally burdensome eigendecomposition; direction-of-arrivals; far-field narrowband signals; near-field narrowband signals; range estimation; source localization method; uniform linear array; Arrays; Covariance matrices; Direction-of-arrival estimation; Estimation; Noise measurement; Signal to noise ratio; Source localization; direction-of-arrival; far-field; near-field; uniform linear array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854001
Filename :
6854001
Link To Document :
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