DocumentCode
1646395
Title
A MUSIC like DOA estimation method for signals with low SNR
Author
Wang, Jin ; Zhao, Yongjun ; Wang, Zhigang
Author_Institution
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
fYear
2008
Firstpage
321
Lastpage
324
Abstract
A new kind of noise subspace based direction-of-arrival (DOA) estimation method is proposed. Unlike the MUSIC algorithm , the novel MUSIC like method use signal subspace estimated by multi-stage Wiener filter (MSWF) instead of array steering vectors for orthogonality test. Simulation shows that the proposed method offers improvements in precision and resolution performance for signals with low SNR, compared to MUSIC and ESPRIT algorithms.
Keywords
Wiener filters; direction-of-arrival estimation; ESPRIT algorithms; MUSIC like DOA estimation method; SNR; multistage Wiener filter; noise subspace based direction-of-arrival estimation method; Direction of arrival estimation; Information science; Matrix decomposition; Multiple signal classification; Sensor arrays; Signal processing algorithms; Signal resolution; Signal to noise ratio; Vectors; Wiener filter; Array signal processing; DOA estimation; MUSIC; Multi-Stage Wiener Filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Millimeter Waves, 2008. GSMM 2008. Global Symposium on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-1885-5
Electronic_ISBN
978-1-4244-1886-2
Type
conf
DOI
10.1109/GSMM.2008.4534634
Filename
4534634
Link To Document