{"title":"针对目标跟踪问题,提出了一种新的解耦无偏转换测量自适应滤波器","authors":"M. Dahmani, A. Meche, M. Keche, A. Ouamri","doi":"10.1109/DAT.2017.7889169","DOIUrl":null,"url":null,"abstract":"Tracking a target in a Cartesian repair with polar radar measurements usually involves transformation of the measurements from a polar coordinate frame to a Cartesian coordinate one. In a large cross-range target tracking, the classical conversion method becomes inconsistent and is therefore inadequate. In this paper we propose a new decoupled tracking filter that uses Unbiased Converted Measurements within an adaptive αβ filter. The proposed filter, named the Decoupled Unbiased Converted Measurements Adaptive αβ Filter (UCMAαβF), while having a performance similar to that of the Unbiased Converted Measurements Kalman Filter (UCMKF), has the advantage to be simpler to implement for real time applications.","PeriodicalId":371206,"journal":{"name":"2017 Seminar on Detection Systems Architectures and Technologies (DAT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new Decoupled Unbiased Converted Measurement Adaptive alpha-beta Filter developed for target tracking\",\"authors\":\"M. Dahmani, A. Meche, M. Keche, A. Ouamri\",\"doi\":\"10.1109/DAT.2017.7889169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tracking a target in a Cartesian repair with polar radar measurements usually involves transformation of the measurements from a polar coordinate frame to a Cartesian coordinate one. In a large cross-range target tracking, the classical conversion method becomes inconsistent and is therefore inadequate. In this paper we propose a new decoupled tracking filter that uses Unbiased Converted Measurements within an adaptive αβ filter. The proposed filter, named the Decoupled Unbiased Converted Measurements Adaptive αβ Filter (UCMAαβF), while having a performance similar to that of the Unbiased Converted Measurements Kalman Filter (UCMKF), has the advantage to be simpler to implement for real time applications.\",\"PeriodicalId\":371206,\"journal\":{\"name\":\"2017 Seminar on Detection Systems Architectures and Technologies (DAT)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Seminar on Detection Systems Architectures and Technologies (DAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DAT.2017.7889169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Seminar on Detection Systems Architectures and Technologies (DAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAT.2017.7889169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new Decoupled Unbiased Converted Measurement Adaptive alpha-beta Filter developed for target tracking
Tracking a target in a Cartesian repair with polar radar measurements usually involves transformation of the measurements from a polar coordinate frame to a Cartesian coordinate one. In a large cross-range target tracking, the classical conversion method becomes inconsistent and is therefore inadequate. In this paper we propose a new decoupled tracking filter that uses Unbiased Converted Measurements within an adaptive αβ filter. The proposed filter, named the Decoupled Unbiased Converted Measurements Adaptive αβ Filter (UCMAαβF), while having a performance similar to that of the Unbiased Converted Measurements Kalman Filter (UCMKF), has the advantage to be simpler to implement for real time applications.