{"title":"基于似然的联合目标跟踪与识别方法","authors":"J. O’Sullivan, S. Jacobs, M. Miller, D. Snyder","doi":"10.1109/ACSSC.1993.342519","DOIUrl":null,"url":null,"abstract":"The identification of aircraft using high range resolution radars requires a close interaction between the tracker and the identification algorithm. The tracker produces as output not only the estimates of target position and orientation, but also a measure of the quality of those estimates. The identification algorithm performs a likelihood-based search over both target types and target positions and orientations. This search compares the measured data to predicted data obtained from surface models of the possible targets. The search constitutes a simultaneous target tracking and identification system.<<ETX>>","PeriodicalId":266447,"journal":{"name":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A likelihood-based approach to joint target tracking and identification\",\"authors\":\"J. O’Sullivan, S. Jacobs, M. Miller, D. Snyder\",\"doi\":\"10.1109/ACSSC.1993.342519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The identification of aircraft using high range resolution radars requires a close interaction between the tracker and the identification algorithm. The tracker produces as output not only the estimates of target position and orientation, but also a measure of the quality of those estimates. The identification algorithm performs a likelihood-based search over both target types and target positions and orientations. This search compares the measured data to predicted data obtained from surface models of the possible targets. The search constitutes a simultaneous target tracking and identification system.<<ETX>>\",\"PeriodicalId\":266447,\"journal\":{\"name\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1993.342519\",\"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 27th Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1993.342519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A likelihood-based approach to joint target tracking and identification
The identification of aircraft using high range resolution radars requires a close interaction between the tracker and the identification algorithm. The tracker produces as output not only the estimates of target position and orientation, but also a measure of the quality of those estimates. The identification algorithm performs a likelihood-based search over both target types and target positions and orientations. This search compares the measured data to predicted data obtained from surface models of the possible targets. The search constitutes a simultaneous target tracking and identification system.<>