{"title":"非相干阵列的到达方向","authors":"Wei Jiang, A. Haimovich, Yonina C. Eldar","doi":"10.1109/RADAR.2016.7485274","DOIUrl":null,"url":null,"abstract":"In previous work we have shown that non-coherent direction of arrival (DOA) estimation by an array of sensors may be implemented from magnitude-only measurements. Here we show that magnitude-only measurements collected by a sensor array may be modeled by a non-central chi-square distribution with mean and variance independent of the phase errors. We also develop a closed-form expression for the Cramer-Rao bound (CRB) of non-coherent DOA estimation for the difference in spatial frequency between two sources. Finally, we obtain closed-form expressions for the maximum likelihood estimates (MLEs) of various unknown parameters. These theoretical expressions are used to analyze the performance of non-coherent DOA estimation.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Direction of arrival by non-coherent arrays\",\"authors\":\"Wei Jiang, A. Haimovich, Yonina C. Eldar\",\"doi\":\"10.1109/RADAR.2016.7485274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In previous work we have shown that non-coherent direction of arrival (DOA) estimation by an array of sensors may be implemented from magnitude-only measurements. Here we show that magnitude-only measurements collected by a sensor array may be modeled by a non-central chi-square distribution with mean and variance independent of the phase errors. We also develop a closed-form expression for the Cramer-Rao bound (CRB) of non-coherent DOA estimation for the difference in spatial frequency between two sources. Finally, we obtain closed-form expressions for the maximum likelihood estimates (MLEs) of various unknown parameters. These theoretical expressions are used to analyze the performance of non-coherent DOA estimation.\",\"PeriodicalId\":185932,\"journal\":{\"name\":\"2016 IEEE Radar Conference (RadarConf)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Radar Conference (RadarConf)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.7485274\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Radar Conference (RadarConf)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.7485274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In previous work we have shown that non-coherent direction of arrival (DOA) estimation by an array of sensors may be implemented from magnitude-only measurements. Here we show that magnitude-only measurements collected by a sensor array may be modeled by a non-central chi-square distribution with mean and variance independent of the phase errors. We also develop a closed-form expression for the Cramer-Rao bound (CRB) of non-coherent DOA estimation for the difference in spatial frequency between two sources. Finally, we obtain closed-form expressions for the maximum likelihood estimates (MLEs) of various unknown parameters. These theoretical expressions are used to analyze the performance of non-coherent DOA estimation.