{"title":"使用以地球为中心的地球固定(ECEF)坐标系对传感器进行校准","authors":"Y. Zhou, H. Leung, M. Blanchette","doi":"10.1109/ACSSC.1996.600949","DOIUrl":null,"url":null,"abstract":"We formulate the sensor alignment problem for multisensor data fusion in the ECEF coordinate system. Sensor measurements are mapped to the ECEF coordinate system using geodetic transformation and sensor registration errors are estimated using the least squares (LS) technique. Real life-radar data are used to evaluate the performance of the proposed technique.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"212 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sensor alignment using the Earth-centered Earth-fixed (ECEF) coordinate system\",\"authors\":\"Y. Zhou, H. Leung, M. Blanchette\",\"doi\":\"10.1109/ACSSC.1996.600949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We formulate the sensor alignment problem for multisensor data fusion in the ECEF coordinate system. Sensor measurements are mapped to the ECEF coordinate system using geodetic transformation and sensor registration errors are estimated using the least squares (LS) technique. Real life-radar data are used to evaluate the performance of the proposed technique.\",\"PeriodicalId\":270729,\"journal\":{\"name\":\"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"212 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1996.600949\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1996.600949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor alignment using the Earth-centered Earth-fixed (ECEF) coordinate system
We formulate the sensor alignment problem for multisensor data fusion in the ECEF coordinate system. Sensor measurements are mapped to the ECEF coordinate system using geodetic transformation and sensor registration errors are estimated using the least squares (LS) technique. Real life-radar data are used to evaluate the performance of the proposed technique.