Sathish, R and Anand, GV (2003) Wavelet Denoising for Plane Wave DOA Estimation By MUSIC. In: Conference on Convergent Technologies for Asia-Pacific Region, 15-17 October, Bangalore,India, Vol.1, 104 -108.
MUSIC is a widely used technique for plane wave direction-of-arrival (DOA) estimation, which is a problem of great interest in several applications. The performance of MUSIC degrades under low signal-to-noise ratio (SNR) conditions due to errors in estimating the data covariance matrix from finite data. The paper explores the possibility of employing the wavelet denoising technique to arrest the degradation in the finite data performance of MUSIC under low SNR. We propose the application of wavelet denoising to the noisy signal at each sensor to boost the SNR before performing DOA estimation by MUSIC. A comparative study of the finite data performance of MUSIC is presented for the undenoised and denoised data, and it is shown that denoising leads to a significant reduction in the bias and mean square errors (MSE) of the DOA estimates.
|Item Type:||Conference Paper|
|Additional Information:||C1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||04 Jan 2006|
|Last Modified:||19 Sep 2010 04:22|
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