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Extended Target Localization Using the Variational Garrote

Rao, Shilpa and Murthy, Chandra R (2016) Extended Target Localization Using the Variational Garrote. In: 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), JUL 03-06, 2016, Edinburgh, ENGLAND.

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Abstract

In several high-resolution array processing applications such as radar and sonar, it is necessary to localize targets that have a finite angular spread. In such scenarios, conventional subspace-based techniques tend to provide erroneous results, and hence, an extended target model is more appropriate. In this work, we consider a multiple input multiple output system model and propose to jointly estimate the range, Doppler shift and angular spread of extended targets. More specifically, we show that the extended nature of the target leads to a block-sparse recovery problem. To solve the problem, we present an extension of the variational Garrote method to estimate the unknown block sparse vector. The variational Garrote provides a simple approach for direct feature subset selection via a variational approximation to the posterior distribution over the subsets. In addition, our proposed method also takes into account the scaling of the angular spread of the target(s) at different distances. We illustrate the efficacy of our approach using Monte Carlo simulations.

Item Type: Conference Paper
Additional Information: Copy right forthis article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 03 Dec 2016 10:20
Last Modified: 03 Dec 2016 10:20
URI: http://eprints.iisc.ac.in/id/eprint/55432

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