{"title":"基于LOS坐标的目标跟踪卡尔曼滤波方法","authors":"Jun Wang, Liangxian Gu, Bo Wang, Ye Tian","doi":"10.1109/IHMSC.2012.66","DOIUrl":null,"url":null,"abstract":"Kalman filter used in seeker system for target tracking may induce low precision because of the equation linearization and the real time tracking performance of the seeker may be broken down. A real time Kalman filter with high precision is introduced and this algorithm is deduced in the line of sight reference frame via coordinate transformation. The effectiveness of the algorithm is shown trough numerical simulations.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Kalman Filter Method of Target Tracking Based on LOS Coordinate\",\"authors\":\"Jun Wang, Liangxian Gu, Bo Wang, Ye Tian\",\"doi\":\"10.1109/IHMSC.2012.66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Kalman filter used in seeker system for target tracking may induce low precision because of the equation linearization and the real time tracking performance of the seeker may be broken down. A real time Kalman filter with high precision is introduced and this algorithm is deduced in the line of sight reference frame via coordinate transformation. The effectiveness of the algorithm is shown trough numerical simulations.\",\"PeriodicalId\":431532,\"journal\":{\"name\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2012.66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2012.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kalman Filter Method of Target Tracking Based on LOS Coordinate
Kalman filter used in seeker system for target tracking may induce low precision because of the equation linearization and the real time tracking performance of the seeker may be broken down. A real time Kalman filter with high precision is introduced and this algorithm is deduced in the line of sight reference frame via coordinate transformation. The effectiveness of the algorithm is shown trough numerical simulations.
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