Improved direction-of-arrival estimation using wavelet based denoising techniques

Sathish, R. ; Anand, G. V. (2006) Improved direction-of-arrival estimation using wavelet based denoising techniques The Journal of VLSI Signal Processing, 45 (1-2). pp. 29-48. ISSN 0922-5773

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Official URL: http://www.springerlink.com/content/201t725q944312...

Related URL: http://dx.doi.org/10.1007/s11265-006-9770-9

Abstract

In this paper, we explore the use of wavelet based denoising techniques to improve the Direction-of-Arrival (DOA) estimation performance of array processors at low SNR. Traditional single sensor wavelet denoising techniques are not suitable for this application since they fail to preserve the intersensor signal correlation. We propose two correlation preserving techniques for denoising multi-sensor signals: (1) the Temporal Wavelet Array Denoising (TWAD) technique developed by Rao and Jones [IEEE Trans. Signal Processing, vol. 48, pp. 1225-1234, 2000], and (2) a new Spatial Wavelet Array Denoising (SWAD) technique. It is shown that SWAD offers the advantage of a significant reduction in computational complexity at the cost of a slight reduction in SNR gain. The denoised array data is used for DOA estimation by the MUSIC algorithm. Simulation results are presented for MUSIC (without denoising), TWAD-MUSIC, and SWAD-MUSIC, to illustrate the improvement in DOA estimation performance brought about by denoising.

Item Type:Article
Source:Copyright of this article belongs to Springer.
Keywords:Direction-of-arrival (DOA) Estimation; Temporal Wavelet Array Denoising (TWAD); Spatial Wavelet Array Denoising (SWAD)
ID Code:71975
Deposited On:28 Nov 2011 05:02
Last Modified:28 Nov 2011 05:02

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