{"title":"未知增益/相位响应下多近场源定位的cram<s:1> -rao边界","authors":"Han Cui, Wenjuan Peng, Tong Liu, Xiaohui Wei","doi":"10.1109/CCDC.2017.7979413","DOIUrl":null,"url":null,"abstract":"In this paper the Cramer-Rao bound (CRB) for the estimation of nearfield source location under unknown gain/phase responses is analyzed. We first derive the CRB under the special case of single source and then extend to more general case of multiple sources. For single-source scenario we show that the CRB can be segmented into two parts, which separately corresponds to gain responses and phase responses. For multiple-sources scenario, we show that the CRB can be recursively calculated based on the single-source CRB expressions. The CRB expressions of multiple-sources scenario are in closed-form and only involve matrix multiplications. We show that with the increase in the number of incident sources, CRB increases.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"48 1 1","pages":"5169-5173"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cramér-rao bounds for multiple near field sources location under unknown gain/phase response\",\"authors\":\"Han Cui, Wenjuan Peng, Tong Liu, Xiaohui Wei\",\"doi\":\"10.1109/CCDC.2017.7979413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the Cramer-Rao bound (CRB) for the estimation of nearfield source location under unknown gain/phase responses is analyzed. We first derive the CRB under the special case of single source and then extend to more general case of multiple sources. For single-source scenario we show that the CRB can be segmented into two parts, which separately corresponds to gain responses and phase responses. For multiple-sources scenario, we show that the CRB can be recursively calculated based on the single-source CRB expressions. The CRB expressions of multiple-sources scenario are in closed-form and only involve matrix multiplications. We show that with the increase in the number of incident sources, CRB increases.\",\"PeriodicalId\":6588,\"journal\":{\"name\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"volume\":\"48 1 1\",\"pages\":\"5169-5173\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2017.7979413\",\"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 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7979413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cramér-rao bounds for multiple near field sources location under unknown gain/phase response
In this paper the Cramer-Rao bound (CRB) for the estimation of nearfield source location under unknown gain/phase responses is analyzed. We first derive the CRB under the special case of single source and then extend to more general case of multiple sources. For single-source scenario we show that the CRB can be segmented into two parts, which separately corresponds to gain responses and phase responses. For multiple-sources scenario, we show that the CRB can be recursively calculated based on the single-source CRB expressions. The CRB expressions of multiple-sources scenario are in closed-form and only involve matrix multiplications. We show that with the increase in the number of incident sources, CRB increases.