{"title":"具有I/Q不匹配和直流偏移的稀疏阵列的高效DOA估计","authors":"S. Abeysekera","doi":"10.1109/ICDSP.2016.7868513","DOIUrl":null,"url":null,"abstract":"Computationally efficient methods for accurate, bias free DOA estimation from a source signal impinging on a sparse array are presented. In particular, the presence of I/Q mismatch and D.C. offsets are discussed. Since the methods meet Cramer-Rao bounds and able to cope array imperfections such as nonuniform gains, element failure, they are useful in short sparse array implementations with simplified processing hardware.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Computationally efficient DOA estimation using sparse arrays with I/Q mismatch and D.C. offsets\",\"authors\":\"S. Abeysekera\",\"doi\":\"10.1109/ICDSP.2016.7868513\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computationally efficient methods for accurate, bias free DOA estimation from a source signal impinging on a sparse array are presented. In particular, the presence of I/Q mismatch and D.C. offsets are discussed. Since the methods meet Cramer-Rao bounds and able to cope array imperfections such as nonuniform gains, element failure, they are useful in short sparse array implementations with simplified processing hardware.\",\"PeriodicalId\":206199,\"journal\":{\"name\":\"2016 IEEE International Conference on Digital Signal Processing (DSP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Digital Signal Processing (DSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSP.2016.7868513\",\"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 International Conference on Digital Signal Processing (DSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2016.7868513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computationally efficient DOA estimation using sparse arrays with I/Q mismatch and D.C. offsets
Computationally efficient methods for accurate, bias free DOA estimation from a source signal impinging on a sparse array are presented. In particular, the presence of I/Q mismatch and D.C. offsets are discussed. Since the methods meet Cramer-Rao bounds and able to cope array imperfections such as nonuniform gains, element failure, they are useful in short sparse array implementations with simplified processing hardware.
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