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
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;
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
DOI :
10.1109/GSMM.2008.4534634
