{"title":"海上雷达系统网络:基于改进的Riccati方程的PD≪1传感器选择算法","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":"{\"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}","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}
Networks of Maritime Radar Systems: Sensor Selection Algorithm for PD ≪ 1 Based on the Modified Riccati Equation
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.
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