DocumentCode :
2283698
Title :
A Novel DOA estimation Algorithm Based on Eigen Space
Author :
Xiaofei, Zhang ; Wen, Lv ; Ying, Shi ; Ruina, Zhao ; Dazhuan, Xu
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear :
2007
fDate :
16-17 Aug. 2007
Firstpage :
551
Lastpage :
554
Abstract :
Based on the investigation to classical DOA algorithm (MUSIC and improved MUSIC), a novel DOA estimation algorithm is proposed which makes full use of signal subspace and noise subspace characteristics. The algorithm can achieve not only DOA estimation but also information source power estimation. The simulation result reveals that the performance of DOA algorithm is better than that of MUSIC and improved MUSIC. In the conditions of coherent sources and small snapshot as well as low SNR, the algorithm can still present a favorable DOA estimation performance. Besides, the complexity of this algorithm is not high, and it is easy to carry out. So the algorithm is predominant and robust.
Keywords :
array signal processing; computational complexity; direction-of-arrival estimation; eigenvalues and eigenfunctions; signal classification; DOA estimation algorithm; algorithm complexity; array signal processing; eigen space; improved multiple signal classification; information source power estimation; noise subspace characteristics; signal subspace; Antennas and propagation; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Electromagnetic compatibility; Linear antenna arrays; Microwave antennas; Microwave propagation; Multiple signal classification; Signal processing algorithms; Array signal processing; DOA estimation; Eigen space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-1045-3
Electronic_ISBN :
978-1-4244-1045-3
Type :
conf
DOI :
10.1109/MAPE.2007.4393677
Filename :
4393677
Link To Document :
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