{"title":"机动目标跟踪的联合自适应检测估计算法","authors":"D. Janczak, Y. Grishin","doi":"10.1109/IRS.2006.4338076","DOIUrl":null,"url":null,"abstract":"An adaptive maneuvering target tracking algorithm based on dynamic system model which incorporates both random and deterministic character of maneuver is presented. Such a model enables to work out relatively simple recursive adaptive input estimation (IE) algorithm with analytic threshold level calculation. The simulation results of the algorithm implementation are presented. The comparative analysis has revealed better performance characteristics of the proposed algorithm in comparison with the interactive multiple model (IMM) approach.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Joint Adaptive Detection - Estimation Algorithm for Maneuvering Target Tracking\",\"authors\":\"D. Janczak, Y. Grishin\",\"doi\":\"10.1109/IRS.2006.4338076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive maneuvering target tracking algorithm based on dynamic system model which incorporates both random and deterministic character of maneuver is presented. Such a model enables to work out relatively simple recursive adaptive input estimation (IE) algorithm with analytic threshold level calculation. The simulation results of the algorithm implementation are presented. The comparative analysis has revealed better performance characteristics of the proposed algorithm in comparison with the interactive multiple model (IMM) approach.\",\"PeriodicalId\":124475,\"journal\":{\"name\":\"2006 International Radar Symposium\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Radar Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2006.4338076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Radar Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2006.4338076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint Adaptive Detection - Estimation Algorithm for Maneuvering Target Tracking
An adaptive maneuvering target tracking algorithm based on dynamic system model which incorporates both random and deterministic character of maneuver is presented. Such a model enables to work out relatively simple recursive adaptive input estimation (IE) algorithm with analytic threshold level calculation. The simulation results of the algorithm implementation are presented. The comparative analysis has revealed better performance characteristics of the proposed algorithm in comparison with the interactive multiple model (IMM) approach.
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