Automatic radar target recognition of objects falling on railway tracks

被引：9

作者：

Mroue, A. ^{[1
,2
]}

Heddebaut, M. ^{[1
,2
]}

Elbahhar, F. ^{[1
,2
]}

Rivenq, A. ^{[1
,3
,4
]}

Rouvaen, J-M ^{[1
,3
,4
]}

机构：

[1] Univ Lille Nord France, F-59000 Lille, France

[2] IFSTTAR, LEOST, F-59666 Villeneuve Dascq, France

[3] UVHC, IEMN DOAE, F-59313 Valenciennes, France

[4] CNRS, UMR 8520, F-59650 Villeneuve Dascq, France

来源：

MEASUREMENT SCIENCE AND TECHNOLOGY | 2012年 / 23卷 / 02期

关键词：

UWB radar; detection/identification; discrimination; singularity expansion method (SEM); complex natural resonance (CNR); OF-FUNCTION METHOD; TRANSIENT-RESPONSE; EXTRACTING POLES; MATRIX PENCIL; IDENTIFICATION; FREQUENCIES; PARAMETERS; SINUSOIDS; SYSTEM; NOISE;

D O I：

10.1088/0957-0233/23/2/025401

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents an automatic radar target recognition procedure based on complex resonances using the signals provided by ultra-wideband radar. This procedure is dedicated to detection and identification of objects lying on railway tracks. For an efficient complex resonance extraction, a comparison between several pole extraction methods is illustrated. Therefore, preprocessing methods are presented aiming to remove most of the erroneous poles interfering with the discrimination scheme. Once physical poles are determined, a specific discrimination technique is introduced based on the Euclidean distances. Both simulation and experimental results are depicted showing an efficient discrimination of different targets including guided transport passengers.

引用

页数：10

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