Title :
A novel improved MUSIC algorithm by wavelet denoising in spatially correlated noises
Author :
Xue, Yanbo ; Wang, Jinkuan ; Liu, Zhigang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In the presence of spatially correlated noises and/or at low SNR, the most popular multiple signal classification (MUSIC) method degrades greatly and even fails to estimate closely spaced signal directions-of-arrival (DOA´s). We have proposed an improved DOA estimation method by wavelet denoising in the context of spatially correlated noises. The proposed approach denoises the received signals at each sensor in parallel and the estimates are obtained by applying MUSIC to the denoised data matrix. Simulation results, proving the output SNR enhancement and resolution improvement, are given.
Keywords :
direction-of-arrival estimation; signal classification; signal denoising; signal resolution; wavelet transforms; MUSIC algorithm; directions-of-arrival method; multiple signal classification; signal enhancement; signal resolution; spatially correlated noises; wavelet denoising; Covariance matrix; Degradation; Direction of arrival estimation; Multiple signal classification; Noise reduction; Sensor arrays; Signal processing; Signal processing algorithms; Signal resolution; Spatial resolution;
Conference_Titel :
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9538-7
DOI :
10.1109/ISCIT.2005.1566906
