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