{"title":"基于带宽合成技术和DOA信息的MIMO雷达目标定位框架","authors":"B. Ayhan, C. Kwan","doi":"10.1145/3271553.3271560","DOIUrl":null,"url":null,"abstract":"This paper presents a target localization framework for MIMO radar configurations. The framework uses the Elliptic Curve Intersection (ECI) method for target localization and incorporates a bandwidth synthesis technique to improve the range resolution. Extensive simulations clearly demonstrated the efficacy of the introduced framework. Because the ECI method has the problem of generating ghost targets, as a remedy to this limitation, a solution which utilizes the DOA information has been introduced as well.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"757 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Target Localization Framework in MIMO Radar Using Bandwidth Synthesis Technique and Direction of Arrival (DOA) Information\",\"authors\":\"B. Ayhan, C. Kwan\",\"doi\":\"10.1145/3271553.3271560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a target localization framework for MIMO radar configurations. The framework uses the Elliptic Curve Intersection (ECI) method for target localization and incorporates a bandwidth synthesis technique to improve the range resolution. Extensive simulations clearly demonstrated the efficacy of the introduced framework. Because the ECI method has the problem of generating ghost targets, as a remedy to this limitation, a solution which utilizes the DOA information has been introduced as well.\",\"PeriodicalId\":414782,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing\",\"volume\":\"757 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3271553.3271560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3271553.3271560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Target Localization Framework in MIMO Radar Using Bandwidth Synthesis Technique and Direction of Arrival (DOA) Information
This paper presents a target localization framework for MIMO radar configurations. The framework uses the Elliptic Curve Intersection (ECI) method for target localization and incorporates a bandwidth synthesis technique to improve the range resolution. Extensive simulations clearly demonstrated the efficacy of the introduced framework. Because the ECI method has the problem of generating ghost targets, as a remedy to this limitation, a solution which utilizes the DOA information has been introduced as well.