{"title":"无源双基地雷达目标定位策略","authors":"Grzegorz Krawczyk","doi":"10.1109/IRS.2016.7497382","DOIUrl":null,"url":null,"abstract":"This paper presents strategies of the target localization in passive bistatic radar in the presence of multiple receivers and non cooperative illuminators. One of the algorithms based on ellipsoid intersections is analyzed. The individual target position is calculated from the bistatic range (BR) measurements using closed form equation based on the time difference of arrival (TDOA) algorithm. Aim of the algorithm is to find the intersection of ellipsoids in 3D space, which is a challenging task. The main performance issues, complexity of calculation and limitation are presented. A method of complexity and a memory requirement reduction using the direction of arrival is proposed and analyzed. The paper also deals with parallel implementation of Spherical Intersections algorithm using Graphics Processing Unit (GPU).","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategies for target localization in passive bistatic radar\",\"authors\":\"Grzegorz Krawczyk\",\"doi\":\"10.1109/IRS.2016.7497382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents strategies of the target localization in passive bistatic radar in the presence of multiple receivers and non cooperative illuminators. One of the algorithms based on ellipsoid intersections is analyzed. The individual target position is calculated from the bistatic range (BR) measurements using closed form equation based on the time difference of arrival (TDOA) algorithm. Aim of the algorithm is to find the intersection of ellipsoids in 3D space, which is a challenging task. The main performance issues, complexity of calculation and limitation are presented. A method of complexity and a memory requirement reduction using the direction of arrival is proposed and analyzed. The paper also deals with parallel implementation of Spherical Intersections algorithm using Graphics Processing Unit (GPU).\",\"PeriodicalId\":346680,\"journal\":{\"name\":\"2016 17th International Radar Symposium (IRS)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 17th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2016.7497382\",\"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 17th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2016.7497382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Strategies for target localization in passive bistatic radar
This paper presents strategies of the target localization in passive bistatic radar in the presence of multiple receivers and non cooperative illuminators. One of the algorithms based on ellipsoid intersections is analyzed. The individual target position is calculated from the bistatic range (BR) measurements using closed form equation based on the time difference of arrival (TDOA) algorithm. Aim of the algorithm is to find the intersection of ellipsoids in 3D space, which is a challenging task. The main performance issues, complexity of calculation and limitation are presented. A method of complexity and a memory requirement reduction using the direction of arrival is proposed and analyzed. The paper also deals with parallel implementation of Spherical Intersections algorithm using Graphics Processing Unit (GPU).