DocumentCode :
2737459
Title :
Extending music-like algorithm for DOA estimation with more sources than sensors
Author :
Zhilong Shan ; Ji, Fei ; Wei, Gang
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
1281
Abstract :
Based on the MUSIC-like algorithm, a novel fourth-order (FO) cumulants algorithm to estimate the DOAs of source signals is presented in this paper. The basic idea of the proposed approach is to extend the array response vector and increase its rank to estimate more source signals. As the MUSIC-like algorithm, the algorithm can extend the real array to a virtual extensive array and increase the effective aperture of an antenna array. However, this new method can estimate more sources than the MUSIC-like algorithm under the assumption that we have a priori knowledge about source signals except the DOAs.
Keywords :
antenna arrays; direction-of-arrival estimation; higher order statistics; DOA estimation; MUSIC-like algorithm; antenna array; array response vector; direction of arrival estimation; fourth order cumulants algorithm; multiple signal characterisation; source signals; Antenna arrays; Aperture antennas; Array signal processing; Direction of arrival estimation; Gaussian noise; Multiple signal classification; Radar applications; Sensor arrays; Sonar applications; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1281105
Filename :
1281105
Link To Document :
بازگشت