{"title":"利用双稳态/被动合成孔径雷达的时间接近性识别移动目标","authors":"K. Li, U. Pillai, B. Himed","doi":"10.1109/RADAR.2016.7485224","DOIUrl":null,"url":null,"abstract":"Geo-locating moving targets using sequential imaging while exploiting their spatio-temporal proximity is addressed in this paper for bistatic Linear Frequency Modulation (LFM) and Orthogonal Frequency-Division Multiplexing (OFDM) scenes. The approach consists of three major steps (i) Synthetic Aperture Radar/Along-Track Interferometry (SAR/ATI) imaging for moving target detection; (ii) target velocity estimation from ATI phase, and (iii) exploiting spatio-temporal connectivity using sub-aperture outputs for target geo-locations. The bistatic OFDM is more problematic than the bistatic LFM case because of the poor detection performance due to the presence of dominant target sidelobes. The results are demonstrated for various moving target sets in moderate clutter.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Exploiting temporal proximity for moving target identification using bistatic/passive SAR\",\"authors\":\"K. Li, U. Pillai, B. Himed\",\"doi\":\"10.1109/RADAR.2016.7485224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Geo-locating moving targets using sequential imaging while exploiting their spatio-temporal proximity is addressed in this paper for bistatic Linear Frequency Modulation (LFM) and Orthogonal Frequency-Division Multiplexing (OFDM) scenes. The approach consists of three major steps (i) Synthetic Aperture Radar/Along-Track Interferometry (SAR/ATI) imaging for moving target detection; (ii) target velocity estimation from ATI phase, and (iii) exploiting spatio-temporal connectivity using sub-aperture outputs for target geo-locations. The bistatic OFDM is more problematic than the bistatic LFM case because of the poor detection performance due to the presence of dominant target sidelobes. The results are demonstrated for various moving target sets in moderate clutter.\",\"PeriodicalId\":185932,\"journal\":{\"name\":\"2016 IEEE Radar Conference (RadarConf)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Radar Conference (RadarConf)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.7485224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Radar Conference (RadarConf)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.7485224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本文针对双稳态线性频率调制（LFM）和正交频分复用（OFDM）场景，利用顺序成像对移动目标进行地理定位，同时利用其时空接近性。该方法包括三个主要步骤：(i) 用于移动目标探测的合成孔径雷达/长轨干涉测量（SAR/ATI）成像；(ii) ATI 相位的目标速度估计；(iii) 利用子孔径输出的时空连通性进行目标地理定位。双稳态 OFDM 的问题比双稳态 LFM 的问题更大，因为存在主要的目标侧晃，导致探测性能较差。在中等杂波条件下，对各种移动目标集进行了结果演示。
Exploiting temporal proximity for moving target identification using bistatic/passive SAR
Geo-locating moving targets using sequential imaging while exploiting their spatio-temporal proximity is addressed in this paper for bistatic Linear Frequency Modulation (LFM) and Orthogonal Frequency-Division Multiplexing (OFDM) scenes. The approach consists of three major steps (i) Synthetic Aperture Radar/Along-Track Interferometry (SAR/ATI) imaging for moving target detection; (ii) target velocity estimation from ATI phase, and (iii) exploiting spatio-temporal connectivity using sub-aperture outputs for target geo-locations. The bistatic OFDM is more problematic than the bistatic LFM case because of the poor detection performance due to the presence of dominant target sidelobes. The results are demonstrated for various moving target sets in moderate clutter.
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