{"title":"基于双基地距离测量的多基地被动雷达约束总最小二乘定位算法","authors":"Yongsheng Zhao, Yongjun Zhao, Danhui Sun, Chuang Zhao","doi":"10.23919/IRS.2018.8447925","DOIUrl":null,"url":null,"abstract":"This paper investigates the problem of locating a target using multistatic passive radar system with multiple transmitters and multiple receivers. The bistatic range (BR), which corresponds to the sum of transmitter-to-target and target-to-receiver distances is used as the measurement. A constrained total least-squares (CTLS) solution for target position estimation is proposed. Firstly, linearize the BR measurement equations. Considering the errors in the both sides of location equations, the localization problem is established as a CTLS model. Then Newton ’s method is applied to solve the CTLS model. The performance of the proposed solution is verified with Monte-Carlo simulations.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Constrained Total Least Squares Localization Algorithm for Multistatic Passive Radar Using Bistatic Range Measurements\",\"authors\":\"Yongsheng Zhao, Yongjun Zhao, Danhui Sun, Chuang Zhao\",\"doi\":\"10.23919/IRS.2018.8447925\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the problem of locating a target using multistatic passive radar system with multiple transmitters and multiple receivers. The bistatic range (BR), which corresponds to the sum of transmitter-to-target and target-to-receiver distances is used as the measurement. A constrained total least-squares (CTLS) solution for target position estimation is proposed. Firstly, linearize the BR measurement equations. Considering the errors in the both sides of location equations, the localization problem is established as a CTLS model. Then Newton ’s method is applied to solve the CTLS model. The performance of the proposed solution is verified with Monte-Carlo simulations.\",\"PeriodicalId\":436201,\"journal\":{\"name\":\"2018 19th International Radar Symposium (IRS)\",\"volume\":\"245 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 19th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/IRS.2018.8447925\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 19th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IRS.2018.8447925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constrained Total Least Squares Localization Algorithm for Multistatic Passive Radar Using Bistatic Range Measurements
This paper investigates the problem of locating a target using multistatic passive radar system with multiple transmitters and multiple receivers. The bistatic range (BR), which corresponds to the sum of transmitter-to-target and target-to-receiver distances is used as the measurement. A constrained total least-squares (CTLS) solution for target position estimation is proposed. Firstly, linearize the BR measurement equations. Considering the errors in the both sides of location equations, the localization problem is established as a CTLS model. Then Newton ’s method is applied to solve the CTLS model. The performance of the proposed solution is verified with Monte-Carlo simulations.