{"title":"Networks of Maritime Radar Systems: Sensor Selection Algorithm for PD ≪ 1 Based on the Modified Riccati Equation","authors":"U. Ramdaras, F. Absil","doi":"10.1109/NSSPW.2006.4378842","DOIUrl":null,"url":null,"abstract":"This paper presents a novel sensor selection algorithm for target tracking, based on the Modified Riccati Equation (MRE). The MRE provides an upper bound of the Cramér-Rao lower bound (CRLB) and is easily calculated. Using the MRE, it is possible to include sensors with a probability of detection Pd ≪ 1. State estimation is done with a modified Particle Filter (PF), taking into account missed detections. The performance of the MRE sensor selection scheme is studied for single and multiple steps ahead, and, for the case of Pd = 1, compared with other methods.","PeriodicalId":388611,"journal":{"name":"2006 IEEE Nonlinear Statistical Signal Processing Workshop","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Nonlinear Statistical Signal Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSPW.2006.4378842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper presents a novel sensor selection algorithm for target tracking, based on the Modified Riccati Equation (MRE). The MRE provides an upper bound of the Cramér-Rao lower bound (CRLB) and is easily calculated. Using the MRE, it is possible to include sensors with a probability of detection Pd ≪ 1. State estimation is done with a modified Particle Filter (PF), taking into account missed detections. The performance of the MRE sensor selection scheme is studied for single and multiple steps ahead, and, for the case of Pd = 1, compared with other methods.
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
