Naidu , PS and Mohan, Krishna PG (1991) Signal subspace approach in localization of sound source in shallow water. In: Signal Processing, 24 (1). pp. 31-42.
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A new algorithm based on signal subspace approach is proposed for localizing a sound source in shallow water. In the first instance we assumed an ideal channel with plane parallel boundaries and known reflection properties. The sound source is assumed to emit a broadband stationary stochastic signal. The algorithm takes into account the spatial distribution of all images and reflection characteristics of the sea bottom. It is shown that both range and depth of a source can be measured accurately with the help of a vertical array of sensors. For good results the number of sensors should be greater than the number of significant images; however, localization is possible even with a smaller array but at the cost of higher side lobes. Next, we allowed the channel to be stochastically perturbed; this resulted in random phase errors in the reflection coefficients. The most singular effect of the phase errors is to introduce into the spectral matrix an extra term which may be looked upon as a signal generated coloured noise. It is shown through computer simulations that the signal peak height is reduced considerably as a consequence of random phase errors.
| Item Type: | Journal Article |
|---|---|
| Publication: | Signal Processing |
| Publisher: | Elsevier science |
| Additional Information: | Copyright of this article belongs to Elsevier science. |
| Keywords: | Nuclear Magnetic-Resonance;Abinitio Calculations;Mas Nmr; Glasses;Angles;Aluminosilicates;Zeolites;Polymorphs. |
| Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
| Date Deposited: | 30 Nov 2010 09:02 |
| Last Modified: | 30 Nov 2010 09:02 |
| URI: | http://eprints.iisc.ac.in/id/eprint/34128 |
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