{"title":"穿墙式 UWB MIMO 雷达中的多静态人体目标定位","authors":"L. Qiu, Wei Qu, Hongfeng Pang, Jun Yang","doi":"10.1109/APSAR46974.2019.9048504","DOIUrl":null,"url":null,"abstract":"Stationary human target localization is a key issue in through-the-wall sensing applications. When there are multiple stationary human targets, wrong data association may result in localization of false alarms. This paper proposes an approach of multiple stationary targets localization based on data association using UWB MIMO radar with one transmitting and two receiving antennas. First, the number and distances of stationary human targets are detected on each channel separately, then correlation coefficient matrix is introduced to evaluate the association probability of targets from different channels, finally the targets are located with no artifacts. Simulation and experimental results verified the superiority of the proposed approach.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple Stationary Human Targets Localization in Through-the-wall UWB MIMO Radar\",\"authors\":\"L. Qiu, Wei Qu, Hongfeng Pang, Jun Yang\",\"doi\":\"10.1109/APSAR46974.2019.9048504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stationary human target localization is a key issue in through-the-wall sensing applications. When there are multiple stationary human targets, wrong data association may result in localization of false alarms. This paper proposes an approach of multiple stationary targets localization based on data association using UWB MIMO radar with one transmitting and two receiving antennas. First, the number and distances of stationary human targets are detected on each channel separately, then correlation coefficient matrix is introduced to evaluate the association probability of targets from different channels, finally the targets are located with no artifacts. Simulation and experimental results verified the superiority of the proposed approach.\",\"PeriodicalId\":377019,\"journal\":{\"name\":\"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSAR46974.2019.9048504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR46974.2019.9048504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
固定人体目标定位是穿墙传感应用中的一个关键问题。当存在多个静止人体目标时,错误的数据关联可能会导致定位误报。本文提出了一种基于数据关联的多静止目标定位方法,使用具有一个发射天线和两个接收天线的 UWB MIMO 雷达。首先,在每个信道上分别检测静止人体目标的数量和距离,然后引入相关系数矩阵来评估不同信道目标的关联概率,最后对目标进行无伪影定位。仿真和实验结果验证了所提方法的优越性。
Multiple Stationary Human Targets Localization in Through-the-wall UWB MIMO Radar
Stationary human target localization is a key issue in through-the-wall sensing applications. When there are multiple stationary human targets, wrong data association may result in localization of false alarms. This paper proposes an approach of multiple stationary targets localization based on data association using UWB MIMO radar with one transmitting and two receiving antennas. First, the number and distances of stationary human targets are detected on each channel separately, then correlation coefficient matrix is introduced to evaluate the association probability of targets from different channels, finally the targets are located with no artifacts. Simulation and experimental results verified the superiority of the proposed approach.