DocumentCode :
2327602
Title :
Extension of root-MUSIC to non-ULA Array Configurations
Author :
Belloni, Fabio ; Richter, Andreas ; Koivunen, Visa
Author_Institution :
SMARAD CoE, Helsinki Univ. of Technol., Espoo
Volume :
4
fYear :
2006
fDate :
14-19 May 2006
Abstract :
In this paper we introduce a method for modelling the steering vector of an arbitrary array such that its steering vector can be expressed as the product of a characteristic matrix of the array itself and a vector with a Vandermonde structure containing the unknown parameter. We call this technique manifold separation. By exploiting this concept, we developed a novel version of the root-MUSIC algorithm for direction of arrival (DoA) estimation of sources. It can be applied to arbitrary 2-D array configurations. The proposed algorithm processes the data in element-space domain and does not require any transformation or array interpolation. The novel algorithm, named element-space root-MUSIC, provides computationally low complexity (search-free) DoA estimation and has close to CRB performance already at low SNRs
Keywords :
array signal processing; direction-of-arrival estimation; 2D array configurations; CRB performance; SNR; Vandermonde structure; arbitrary array; characteristic matrix; direction-of-arrival estimation; element-space domain; element-space root-MUSIC algorithm; manifold separation; nonULA array configurations; search-free DoA estimation; steering vector; Antenna arrays; Array signal processing; Direction of arrival estimation; Interpolation; Mathematical model; Planar arrays; Sensor arrays; Signal processing algorithms; Transmission line matrix methods; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1661114
Filename :
1661114
Link To Document :
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