{"title":"MIMO雷达网络中多目标定位的有效传感器调度","authors":"Zengfu Wang, Xuezhi Wang, W. Moran, Q. Pan","doi":"10.1109/IRS.2015.7226328","DOIUrl":null,"url":null,"abstract":"The problem of optimally selecting a subset of transmitters and receivers from a set of transmitters/receivers in a MIMO radar network which will minimize the localisation error of multiple in-region targets of interest under power constraint is studied. We show that such a problem can be formulated as an estimation variance minimization problem with a submodular variance reduction function. Based on the property of submodularity, a transmitter/receiver selection policy which minimizes the overall estimation covariance is proposed. Together, we also present an algorithm which can efficiently implement this sensor scheduling policy in polynomial time with a guaranteed accuracy compared to the optimal solution. The effectiveness and efficiency of the proposed method are demonstrated using simulated examples.","PeriodicalId":117775,"journal":{"name":"2015 16th International Radar Symposium (IRS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An efficient sensor scheduling for multi-target localisation in MIMO radar networks\",\"authors\":\"Zengfu Wang, Xuezhi Wang, W. Moran, Q. Pan\",\"doi\":\"10.1109/IRS.2015.7226328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of optimally selecting a subset of transmitters and receivers from a set of transmitters/receivers in a MIMO radar network which will minimize the localisation error of multiple in-region targets of interest under power constraint is studied. We show that such a problem can be formulated as an estimation variance minimization problem with a submodular variance reduction function. Based on the property of submodularity, a transmitter/receiver selection policy which minimizes the overall estimation covariance is proposed. Together, we also present an algorithm which can efficiently implement this sensor scheduling policy in polynomial time with a guaranteed accuracy compared to the optimal solution. The effectiveness and efficiency of the proposed method are demonstrated using simulated examples.\",\"PeriodicalId\":117775,\"journal\":{\"name\":\"2015 16th International Radar Symposium (IRS)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 16th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2015.7226328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 16th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2015.7226328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient sensor scheduling for multi-target localisation in MIMO radar networks
The problem of optimally selecting a subset of transmitters and receivers from a set of transmitters/receivers in a MIMO radar network which will minimize the localisation error of multiple in-region targets of interest under power constraint is studied. We show that such a problem can be formulated as an estimation variance minimization problem with a submodular variance reduction function. Based on the property of submodularity, a transmitter/receiver selection policy which minimizes the overall estimation covariance is proposed. Together, we also present an algorithm which can efficiently implement this sensor scheduling policy in polynomial time with a guaranteed accuracy compared to the optimal solution. The effectiveness and efficiency of the proposed method are demonstrated using simulated examples.