{"title":"基于IMM/JPDA定滞后平滑的杂波多传感器多机动目标跟踪","authors":"Bing Chen, Jitendra Tugnait","doi":"10.1109/CDC.1999.833352","DOIUrl":null,"url":null,"abstract":"Presents a suboptimal fixed-lag smoothing algorithm for tracking multiple maneuvering targets in clutter using multiple sensors and switching multiple target motion models. The fixed-lag smoothing algorithm is developed by applying the basic interacting multiple model (IMM) approach and joint probabilistic data association (JPDA) technique to a state-augmented system. The algorithm is illustrated via a simulation example. Compared to the IMM/JPDA filtering algorithm, the proposed smoothing algorithm achieves significant improvement in the accuracy of track estimation by introducing a small time lag between the instants of estimation and latest measurements whereas the computational load for target state estimation increases linearly with lag and that for data association remains the same.","PeriodicalId":137513,"journal":{"name":"Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1999-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Multisensor tracking of multiple maneuvering targets in clutter using IMM/JPDA fixed-lag smoothing\",\"authors\":\"Bing Chen, Jitendra Tugnait\",\"doi\":\"10.1109/CDC.1999.833352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a suboptimal fixed-lag smoothing algorithm for tracking multiple maneuvering targets in clutter using multiple sensors and switching multiple target motion models. The fixed-lag smoothing algorithm is developed by applying the basic interacting multiple model (IMM) approach and joint probabilistic data association (JPDA) technique to a state-augmented system. The algorithm is illustrated via a simulation example. Compared to the IMM/JPDA filtering algorithm, the proposed smoothing algorithm achieves significant improvement in the accuracy of track estimation by introducing a small time lag between the instants of estimation and latest measurements whereas the computational load for target state estimation increases linearly with lag and that for data association remains the same.\",\"PeriodicalId\":137513,\"journal\":{\"name\":\"Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1999.833352\",\"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 the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1999.833352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multisensor tracking of multiple maneuvering targets in clutter using IMM/JPDA fixed-lag smoothing
Presents a suboptimal fixed-lag smoothing algorithm for tracking multiple maneuvering targets in clutter using multiple sensors and switching multiple target motion models. The fixed-lag smoothing algorithm is developed by applying the basic interacting multiple model (IMM) approach and joint probabilistic data association (JPDA) technique to a state-augmented system. The algorithm is illustrated via a simulation example. Compared to the IMM/JPDA filtering algorithm, the proposed smoothing algorithm achieves significant improvement in the accuracy of track estimation by introducing a small time lag between the instants of estimation and latest measurements whereas the computational load for target state estimation increases linearly with lag and that for data association remains the same.