{"title":"Passive target tracking by unscented filters","authors":"C. Vijayakumar, R. Rajagopal","doi":"10.1109/ICIT.2000.854112","DOIUrl":null,"url":null,"abstract":"Tracking of multiple targets by using only the bearing information is an important problem in passive sensing scenarios such as passive sonar or infrared seeker applications. In this paper, a new algorithm is presented to adaptively estimate the DOAs of multiple moving targets when linear equispace array (LES) is used for making the measurements. These algorithms are based on the differential MUSIC method. The results obtained by these algorithms are then applied as input to a nonlinear state linear measurement unscented filter. The unscented filter based tracker is compared with the EKF based tracker. Simulation results show that the former is superior to the latter.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"431 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2000.854112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Tracking of multiple targets by using only the bearing information is an important problem in passive sensing scenarios such as passive sonar or infrared seeker applications. In this paper, a new algorithm is presented to adaptively estimate the DOAs of multiple moving targets when linear equispace array (LES) is used for making the measurements. These algorithms are based on the differential MUSIC method. The results obtained by these algorithms are then applied as input to a nonlinear state linear measurement unscented filter. The unscented filter based tracker is compared with the EKF based tracker. Simulation results show that the former is superior to the latter.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
