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Improved Bearing Estimation in Ocean Using Wavelet Denoising

Sathish, Ramani and Anand, GV (2003) Improved Bearing Estimation in Ocean Using Wavelet Denoising. In: Wavelets: Application in Signal and Image Processing X, 4-8 Aug 2003, San Diego, CA, USA, pp. 47-58.

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Passive localisation and bearing estimation of underwater acoustic sources is a problem of great interest in the area of ocean acoustics. Bearing estimation techniques often perform poorly due to the low signal-to-noise ratio (SNR) at the sensor array. This paper proposes signal enhancement by wavelet denoising to improve the performance of the bearing estimation techniques. Methods have beendeveloped in the recent past to effectively perform wavelet denoising in the multisensor scenario (wavelet array denoising). Following one such approach, the acoustic signal received at the array is spatially decorrelated and then denoised. The denoised and recorrelated signal is then used for bearing estimation employing known bearing estimation techniques (MUSIC and Subspace Intersection). It is shown that wavelet array denoising improves the performance of the bearing estimators significantly. Also the case of perturbed arrays is considered as a special case for application of wavelet array denoising. Simulation results show that the denoising estimator has lower mean square error and higher resolution.

Item Type: Conference Paper
Publisher: SPIE-The International Society for Optical Engineering
Additional Information: Copyright of this article belongs SPIE-The International Society for Optical Engineering.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 29 Jun 2007
Last Modified: 27 Aug 2008 12:41
URI: http://eprints.iisc.ac.in/id/eprint/10135

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