{"title":"基于em的近场运动源递归跟踪算法","authors":"S. Cekli, E. Çekli, N. Kabaoğlu, H. A. Çırpan","doi":"10.1109/IVS.2007.4290144","DOIUrl":null,"url":null,"abstract":"In this paper, we address the problem of joint tracking of the direction of arrival (DOA) and range parameters of moving sources in the near-field of an antenna array with the expectation-maximization (EM) based recursive algorithm. The main characteristic of the proposed recursive EM approach is to include computation of the gradient of the log-likelihood and some form of the complete-data fisher information matrix. The proposed recursive algorithm in this work assumes that the parameters of interest are described by a linear polynomial model. Simulation results of the suggested algorithm are also presented in order to illustrate the performance of the algorithms.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"EM-Based Recursive Tracking Algorithm for Near-Field Moving Sources\",\"authors\":\"S. Cekli, E. Çekli, N. Kabaoğlu, H. A. Çırpan\",\"doi\":\"10.1109/IVS.2007.4290144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we address the problem of joint tracking of the direction of arrival (DOA) and range parameters of moving sources in the near-field of an antenna array with the expectation-maximization (EM) based recursive algorithm. The main characteristic of the proposed recursive EM approach is to include computation of the gradient of the log-likelihood and some form of the complete-data fisher information matrix. The proposed recursive algorithm in this work assumes that the parameters of interest are described by a linear polynomial model. Simulation results of the suggested algorithm are also presented in order to illustrate the performance of the algorithms.\",\"PeriodicalId\":190903,\"journal\":{\"name\":\"2007 IEEE Intelligent Vehicles Symposium\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Intelligent Vehicles Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2007.4290144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2007.4290144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EM-Based Recursive Tracking Algorithm for Near-Field Moving Sources
In this paper, we address the problem of joint tracking of the direction of arrival (DOA) and range parameters of moving sources in the near-field of an antenna array with the expectation-maximization (EM) based recursive algorithm. The main characteristic of the proposed recursive EM approach is to include computation of the gradient of the log-likelihood and some form of the complete-data fisher information matrix. The proposed recursive algorithm in this work assumes that the parameters of interest are described by a linear polynomial model. Simulation results of the suggested algorithm are also presented in order to illustrate the performance of the algorithms.