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

M Lasserre; Stéphanie Bidon; Francois le Chevalier

doi:10.1109/SSP.2016.7551791

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

M Lasserre, Stéphanie Bidon, Francois le Chevalier

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	2016 IEEE Statistical Signal Processing Workshop (SSP)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	978-1-4673-7802-4
DOIs	https://doi.org/10.1109/SSP.2016.7551791
Publication status	Published - 2016
Event	2016 IEEE Statistical Signal Processing Workshop (SSP) - Palma de Mallorca, Spain Duration: 26 Jun 2016 → 29 Jun 2017 http://ssp2016.tsc.uc3m.es/

Workshop

Workshop	2016 IEEE Statistical Signal Processing Workshop (SSP)
Abbreviated title	SSP 2016
Country/Territory	Spain
City	Palma de Mallorca
Period	26/06/16 → 29/06/17
Internet address	http://ssp2016.tsc.uc3m.es/

Keywords

Bayesian estimation
Sparse signal representations (SSR)
wideband radar

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10.1109/SSP.2016.7551791

Cite this

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title = "Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery",

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 simulationson experimental data demonstrate the ability of the proposed algorithm in mitigating velocity ambiguity.",

keywords = "Bayesian estimation, Sparse signal representations (SSR), wideband radar",

author = "M Lasserre and St{\'e}phanie Bidon and {le Chevalier}, Francois",

year = "2016",

doi = "10.1109/SSP.2016.7551791",

language = "English",

isbn = "978-1-4673-7802-4",

pages = "1--5",

booktitle = "2016 IEEE Statistical Signal Processing Workshop (SSP)",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE Statistical Signal Processing Workshop (SSP), SSP 2016 ; Conference date: 26-06-2016 Through 29-06-2017",

url = "http://ssp2016.tsc.uc3m.es/",

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T1 - Velocity ambiguity mitigation of off-grid range migrating targets via Bayesian sparse recovery

AU - Lasserre, M

AU - Bidon, Stéphanie

AU - le Chevalier, Francois

PY - 2016

Y1 - 2016

N2 - 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 simulationson experimental data demonstrate the ability of the proposed algorithm in mitigating velocity ambiguity.

AB - 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 simulationson experimental data demonstrate the ability of the proposed algorithm in mitigating velocity ambiguity.

KW - Bayesian estimation

KW - Sparse signal representations (SSR)

KW - wideband radar

U2 - 10.1109/SSP.2016.7551791

DO - 10.1109/SSP.2016.7551791

M3 - Conference contribution

SN - 978-1-4673-7802-4

SP - 1

EP - 5

BT - 2016 IEEE Statistical Signal Processing Workshop (SSP)

PB - IEEE

T2 - 2016 IEEE Statistical Signal Processing Workshop (SSP)

Y2 - 26 June 2016 through 29 June 2017

ER -

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

Abstract

Workshop

Keywords

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