Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery
Conference Paper
(2016)
Author(s)
M Lasserre (Université de Toulouse)
Stéphanie Bidon (Université de Toulouse)
Francois le Chevalier (Microwave Sensing, Signals & Systems)
Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.1109/SSP.2016.7551791
Final published version
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Publication Year
2016
Language
English
Microwave Sensing, Signals & Systems
Pages (from-to)
1-5
ISBN (print)
978-1-4673-7802-4
Event
2016 IEEE Statistical Signal Processing Workshop (SSP) (2016-06-26 - 2017-06-29), Palma de Mallorca, Spain
Page Views
201
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.