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

Volume

1

fYear

2005

fDate

12-14 Oct. 2005

Firstpage

515

Lastpage

518

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on

Print_ISBN

0-7803-9538-7

Type

conf

DOI

10.1109/ISCIT.2005.1566906

Filename

1566906