{"title":"一种新的测向阵列几何优化准则","authors":"Mehrad Amin Eskandari, S. M. Karbasi","doi":"10.1109/spsympo51155.2020.9593666","DOIUrl":null,"url":null,"abstract":"The multiple signal classifier (MUSIC) is a popular sub-space based method to estimate Angle of Arrival (AoA) of narrow-band and uncorrelated signals. With the same number of antennas, the placement of array elements has a significant effect on the array steering vectors, as well as the accuracy of AoA estimation employing the MUSIC algorithm. In this paper, relation of array geometry and AoA estimation accuracy is studied with some theoretic and simulation analysis, and finally, we introduce a novel method for array design (placement of antannas) to get better accuracy in AoA estimation. Several simulation based as well as practical experiments are given to justify the performance of our proposed method.","PeriodicalId":380515,"journal":{"name":"2021 Signal Processing Symposium (SPSympo)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Criterion to Optimize Array Geometry for Direction Finding\",\"authors\":\"Mehrad Amin Eskandari, S. M. Karbasi\",\"doi\":\"10.1109/spsympo51155.2020.9593666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multiple signal classifier (MUSIC) is a popular sub-space based method to estimate Angle of Arrival (AoA) of narrow-band and uncorrelated signals. With the same number of antennas, the placement of array elements has a significant effect on the array steering vectors, as well as the accuracy of AoA estimation employing the MUSIC algorithm. In this paper, relation of array geometry and AoA estimation accuracy is studied with some theoretic and simulation analysis, and finally, we introduce a novel method for array design (placement of antannas) to get better accuracy in AoA estimation. Several simulation based as well as practical experiments are given to justify the performance of our proposed method.\",\"PeriodicalId\":380515,\"journal\":{\"name\":\"2021 Signal Processing Symposium (SPSympo)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Signal Processing Symposium (SPSympo)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/spsympo51155.2020.9593666\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Signal Processing Symposium (SPSympo)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/spsympo51155.2020.9593666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Criterion to Optimize Array Geometry for Direction Finding
The multiple signal classifier (MUSIC) is a popular sub-space based method to estimate Angle of Arrival (AoA) of narrow-band and uncorrelated signals. With the same number of antennas, the placement of array elements has a significant effect on the array steering vectors, as well as the accuracy of AoA estimation employing the MUSIC algorithm. In this paper, relation of array geometry and AoA estimation accuracy is studied with some theoretic and simulation analysis, and finally, we introduce a novel method for array design (placement of antannas) to get better accuracy in AoA estimation. Several simulation based as well as practical experiments are given to justify the performance of our proposed method.