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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Vydané v:IEEE transactions on aerospace and electronic systems Ročník 55; číslo 6; s. 2658 - 2673
Hlavní autori: Thai, Khac-Phuc-Hung, Rabaste, Olivier, Bosse, Jonathan, Poullin, Dominique, Saenz, Israel D. Hinostroza, Letertre, Thierry, Chonavel, Thierry
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Predmet:
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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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2019.2897031