{"title":"一种多倍体定位自标定方法","authors":"Lin Yunsong, Peng Liangfu","doi":"10.1109/CPGPS.2017.8075105","DOIUrl":null,"url":null,"abstract":"This paper presents a self-calibration method for estimating receiver position errors using TDOA measurements for targets with unknown positions. The method uses two LS minimization steps to estimate the related receiver position errors. The method estimates the initial TDOA LS for the unknown target position with the measured receiver positions. A second weighted LS using the total differential of the TDOA equations estimates the related receiver position error. Therefore, the estimated receiver position error can be used to modify the measurement of the receiver positions. Computer simulations demonstrate the statistical performance of this method, and the results of Table IV show that the related receiver position errors estimated meet the multilateration (MLAT) requirements.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A position self-calibration method in multilateration\",\"authors\":\"Lin Yunsong, Peng Liangfu\",\"doi\":\"10.1109/CPGPS.2017.8075105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a self-calibration method for estimating receiver position errors using TDOA measurements for targets with unknown positions. The method uses two LS minimization steps to estimate the related receiver position errors. The method estimates the initial TDOA LS for the unknown target position with the measured receiver positions. A second weighted LS using the total differential of the TDOA equations estimates the related receiver position error. Therefore, the estimated receiver position error can be used to modify the measurement of the receiver positions. Computer simulations demonstrate the statistical performance of this method, and the results of Table IV show that the related receiver position errors estimated meet the multilateration (MLAT) requirements.\",\"PeriodicalId\":340067,\"journal\":{\"name\":\"2017 Forum on Cooperative Positioning and Service (CPGPS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Forum on Cooperative Positioning and Service (CPGPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CPGPS.2017.8075105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Forum on Cooperative Positioning and Service (CPGPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPGPS.2017.8075105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A position self-calibration method in multilateration
This paper presents a self-calibration method for estimating receiver position errors using TDOA measurements for targets with unknown positions. The method uses two LS minimization steps to estimate the related receiver position errors. The method estimates the initial TDOA LS for the unknown target position with the measured receiver positions. A second weighted LS using the total differential of the TDOA equations estimates the related receiver position error. Therefore, the estimated receiver position error can be used to modify the measurement of the receiver positions. Computer simulations demonstrate the statistical performance of this method, and the results of Table IV show that the related receiver position errors estimated meet the multilateration (MLAT) requirements.