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Unambiguous Sparse Recovery of Migrating Targets with a Robustified Bayesian Model

Bidon, Stéphanie and Lasserre, Marie and Le Chevalier, François Unambiguous Sparse Recovery of Migrating Targets with a Robustified Bayesian Model. (2019) IEEE Transactions on Aerospace and Electronic Systems, 55 (1). 108-123. ISSN 0018-9251

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Official URL: https://doi.org/10.1109/TAES.2018.2848360


The problem considered is that of estimating unambiguously migrating targets observed with a wideband radar. We extend a previously described sparse Bayesian algorithm to the presence of diffuse clutter and off-grid targets. A hybrid-Gibbs sampler is formulated to jointly estimate the sparse target amplitude vector, the grid mismatch and the (assumed) autoregressive noise. Results on synthetic and fully experimental data show that targets can be actually unambiguously estimated even if located in blind speeds.

Item Type:Article
Additional Information:Thanks to the IEEE (Institute of Electrical and Electronics Engineers). This paper is available at : https://ieeexplore.ieee.org/document/8387428 “© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Audience (journal):International peer-reviewed journal
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Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Delft University of Technology - TU Delft (NETHERLANDS)
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Deposited On:05 Mar 2019 17:25

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