Detection-Localization Algorithms in the Around-the-Corner Radar Problem

Detection and localization in urban environments is a very recent radar problem. In this paper, we investigate the possibility of detecting and locating targets not in direct line of sight (NLOS) areas with a single portable radar by exploiting multipath returns. We propose two algorithms, which han...

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Vydáno v:	IEEE transactions on aerospace and electronic systems Ročník 55; číslo 6; s. 2658 - 2673
Hlavní autoři:	Thai, Khac-Phuc-Hung, Rabaste, Olivier, Bosse, Jonathan, Poullin, Dominique, Saenz, Israel D. Hinostroza, Letertre, Thierry, Chonavel, Thierry
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.12.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	Algorithms Around-the-corner radar (ACR) Computer Science detection and localization algorithm Doppler effect Engineering Sciences Geometry Localization Matched filters multipath exploitation not in direct line of sight (NLOS) Radar detection Radar imaging Signal and Image processing Target detection Urban areas urban environment Urban environments urban radar detection and localization algorithm urban radar urban environment multipath exploitation NLOS around-the-corner radar
ISSN:	0018-9251, 1557-9603
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Abstract	Detection and localization in urban environments is a very recent radar problem. In this paper, we investigate the possibility of detecting and locating targets not in direct line of sight (NLOS) areas with a single portable radar by exploiting multipath returns. We propose two algorithms, which handle the information provided by multipath returns in different ways to detect and estimate the NLOS target position. We also present an original method to select the number of paths to take into account in the algorithms in order to maximize detection probabilities. Numerical results show good efficiency of the proposed algorithms for problems of both detection and localization. We show that applying these algorithms improves detection performance compared to a classic matched filter in a typical urban scenario. Experimental results on a real dataset allow us to validate our multipath model in urban environments, and in particular to show that it is possible to retrieve the target location even with rough knowledge of the scene geometry.
AbstractList	Detection and localization in urban environments is a very recent radar problem. In this article, we investigate the possibility of detecting and locating targets in NLOS areas with a single portable radar by exploiting multipath returns. We propose two algorithms which handle the information provided by multipath returns in different ways to detect and estimate the NLOS target position. We also present an original method to select the number of paths to take into account in the algorithms in order to maximize detection probabilities. Numerical results show good efficiency of the proposed algorithms for problems of both detection and localization. We show that applying these algorithms improves detection performance compared to a classic matched filter in a typical urban scenario. Experimental results on a real data set allow us to validate our multipath model in urban environments, and in particular to show that it is possible to retrieve the target location even with rough knowledge of the scene geometry. Detection and localization in urban environments is a very recent radar problem. In this paper, we investigate the possibility of detecting and locating targets not in direct line of sight (NLOS) areas with a single portable radar by exploiting multipath returns. We propose two algorithms, which handle the information provided by multipath returns in different ways to detect and estimate the NLOS target position. We also present an original method to select the number of paths to take into account in the algorithms in order to maximize detection probabilities. Numerical results show good efficiency of the proposed algorithms for problems of both detection and localization. We show that applying these algorithms improves detection performance compared to a classic matched filter in a typical urban scenario. Experimental results on a real dataset allow us to validate our multipath model in urban environments, and in particular to show that it is possible to retrieve the target location even with rough knowledge of the scene geometry.
Author	Rabaste, Olivier Saenz, Israel D. Hinostroza Letertre, Thierry Thai, Khac-Phuc-Hung Bosse, Jonathan Poullin, Dominique Chonavel, Thierry
Author_xml	– sequence: 1 givenname: Khac-Phuc-Hung orcidid: 0000-0002-8593-5926 surname: Thai fullname: Thai, Khac-Phuc-Hung email: kphung.thai@onera.fr organization: ONERA-The French Aerospace Laboratory, Palaiseau, France – sequence: 2 givenname: Olivier orcidid: 0000-0003-2782-2621 surname: Rabaste fullname: Rabaste, Olivier email: olivier.rabaste@onera.fr organization: ONERA-The French Aerospace Laboratory, Palaiseau, France – sequence: 3 givenname: Jonathan orcidid: 0000-0003-1807-5046 surname: Bosse fullname: Bosse, Jonathan email: jonathan.bosse@onera.fr organization: ONERA-The French Aerospace Laboratory, Palaiseau, France – sequence: 4 givenname: Dominique surname: Poullin fullname: Poullin, Dominique email: Dominique.Poullin@onera.fr organization: ONERA-The French Aerospace Laboratory, Palaiseau, France – sequence: 5 givenname: Israel D. Hinostroza surname: Saenz fullname: Saenz, Israel D. Hinostroza email: Israel.Hinostroza@supelec.fr organization: SONDRA, CentraleSupélec, Gif-sur-Yvette, France – sequence: 6 givenname: Thierry surname: Letertre fullname: Letertre, Thierry email: thierry.letertre@centralesupelec.fr organization: SONDRA, CentraleSupélec, Gif-sur-Yvette, France – sequence: 7 givenname: Thierry surname: Chonavel fullname: Chonavel, Thierry email: thierry.chonavel@imt-atlantique.fr organization: IMT Atlantique, Nantes, France
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Snippet	Detection and localization in urban environments is a very recent radar problem. In this paper, we investigate the possibility of detecting and locating... Detection and localization in urban environments is a very recent radar problem. In this article, we investigate the possibility of detecting and locating...
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SubjectTerms	Algorithms Around-the-corner radar (ACR) Computer Science detection and localization algorithm Doppler effect Engineering Sciences Geometry Localization Matched filters multipath exploitation not in direct line of sight (NLOS) Radar detection Radar imaging Signal and Image processing Target detection Urban areas urban environment Urban environments urban radar
Title	Detection-Localization Algorithms in the Around-the-Corner Radar Problem
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