Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery

Lasserre, Marie; Bidon, Stéphanie; Le Chevalier, François

Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery

Conference paper (2016)

Authors

Marie Lasserre Université de Toulouse

Stéphanie Bidon Université de Toulouse

François Le Chevalier

Bayesian estimation Wideband radar Sparse signal representations (SSR)

To reference this document use:

http://resolver.tudelft.nl/uuid:9c22a121-bd2a-4fe7-b94d-94b5a7507a70

More Info

expand_more

Published Date

2016

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Within the scope of sparse signal representation, we consider the problem of velocity ambiguity mitigation for wideband radar signal. We present a Bayesian robust algorithm based on a new sparsifying dictionary suited for range-migrating targets possibly straddling range-velocity bins. Numerical simulations
on experimental data demonstrate the ability of the proposed algorithm in mitigating velocity ambiguity.

No files available

Metadata only record. There are no files for this conference paper.