Regularization methods for intercepted radar signals

Tabea Rebafka; Céline Lévy-Leduc; Maurcie Charbit

doi:10.1109/RADAR.2011.5960567

Regularization methods for intercepted radar signals

Tabea Rebafka
, Céline Lévy-Leduc
, Maurcie Charbit

École Polytechnique

CNRS LTCI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A transmitted, unknown radar signal is observed through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to simultaneously estimate the DOA. We propose an approach exploiting the parsimonious time-frequency representation of the signal by applying regularization methods with sparsity inducing norms. An important issue is the scalability of the algorithm since high-dimensional models shall be used for radar signals. Simulations for modulated signals illustrate the good performance of the method even for low signal-to-noise ratios and a gain of 20 dB for the DOA estimation compared to a standard method.

Original language	English
Title of host publication	RadarCon'11 - In the Eye of the Storm
Subtitle of host publication	2011 IEEE Radar Conference
Pages	393-396
Number of pages	4
DOIs	https://doi.org/10.1109/RADAR.2011.5960567
Publication status	Published - 12 Sept 2011
Event	2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 - Kansas City, MO, United States Duration: 23 May 2011 → 27 May 2011

Publication series

Name	IEEE National Radar Conference - Proceedings
ISSN (Print)	1097-5659

Conference

Conference	2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11
Country/Territory	United States
City	Kansas City, MO
Period	23/05/11 → 27/05/11

Access to Document

10.1109/RADAR.2011.5960567

Cite this

@inproceedings{0985420ec63044488aab1d61154dc9c4,

title = "Regularization methods for intercepted radar signals",

abstract = "A transmitted, unknown radar signal is observed through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to simultaneously estimate the DOA. We propose an approach exploiting the parsimonious time-frequency representation of the signal by applying regularization methods with sparsity inducing norms. An important issue is the scalability of the algorithm since high-dimensional models shall be used for radar signals. Simulations for modulated signals illustrate the good performance of the method even for low signal-to-noise ratios and a gain of 20 dB for the DOA estimation compared to a standard method.",

author = "Tabea Rebafka and C{\'e}line L{\'e}vy-Leduc and Maurcie Charbit",

year = "2011",

month = sep,

day = "12",

doi = "10.1109/RADAR.2011.5960567",

language = "English",

isbn = "9781424489022",

series = "IEEE National Radar Conference - Proceedings",

pages = "393--396",

booktitle = "RadarCon'11 - In the Eye of the Storm",

note = "2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 ; Conference date: 23-05-2011 Through 27-05-2011",

}

Rebafka, T, Lévy-Leduc, C & Charbit, M 2011, Regularization methods for intercepted radar signals. in RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference., 5960567, IEEE National Radar Conference - Proceedings, pp. 393-396, 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11, Kansas City, MO, United States, 23/05/11. https://doi.org/10.1109/RADAR.2011.5960567

TY - GEN

T1 - Regularization methods for intercepted radar signals

AU - Rebafka, Tabea

AU - Lévy-Leduc, Céline

AU - Charbit, Maurcie

PY - 2011/9/12

Y1 - 2011/9/12

N2 - A transmitted, unknown radar signal is observed through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to simultaneously estimate the DOA. We propose an approach exploiting the parsimonious time-frequency representation of the signal by applying regularization methods with sparsity inducing norms. An important issue is the scalability of the algorithm since high-dimensional models shall be used for radar signals. Simulations for modulated signals illustrate the good performance of the method even for low signal-to-noise ratios and a gain of 20 dB for the DOA estimation compared to a standard method.

AB - A transmitted, unknown radar signal is observed through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to simultaneously estimate the DOA. We propose an approach exploiting the parsimonious time-frequency representation of the signal by applying regularization methods with sparsity inducing norms. An important issue is the scalability of the algorithm since high-dimensional models shall be used for radar signals. Simulations for modulated signals illustrate the good performance of the method even for low signal-to-noise ratios and a gain of 20 dB for the DOA estimation compared to a standard method.

U2 - 10.1109/RADAR.2011.5960567

DO - 10.1109/RADAR.2011.5960567

M3 - Conference contribution

AN - SCOPUS:80052427822

SN - 9781424489022

T3 - IEEE National Radar Conference - Proceedings

SP - 393

EP - 396

BT - RadarCon'11 - In the Eye of the Storm

T2 - 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11

Y2 - 23 May 2011 through 27 May 2011

ER -

Regularization methods for intercepted radar signals

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this