{"title":"基于传感器增益、相位和位置扰动的DOA估计","authors":"Ming Zhang, Zhaoda Zhu","doi":"10.1109/NAECON.1993.290894","DOIUrl":null,"url":null,"abstract":"In array processing, super-resolution eigenstructure direction-of-arrival (DOA) estimation methods are known to be sensitive to sensor gain, phase and position perturbations. This paper presents a method to calibrate sensor gain, phase and position errors, simultaneously, which is based on three or more disjoint sources in known directions. The method can be applied to arbitrary arrays and low SNR cases. Computer simulations are given to demonstrate the performance of the calibration method.<<ETX>>","PeriodicalId":183796,"journal":{"name":"Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"DOA estimation with sensor gain, phase and position perturbations\",\"authors\":\"Ming Zhang, Zhaoda Zhu\",\"doi\":\"10.1109/NAECON.1993.290894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In array processing, super-resolution eigenstructure direction-of-arrival (DOA) estimation methods are known to be sensitive to sensor gain, phase and position perturbations. This paper presents a method to calibrate sensor gain, phase and position errors, simultaneously, which is based on three or more disjoint sources in known directions. The method can be applied to arbitrary arrays and low SNR cases. Computer simulations are given to demonstrate the performance of the calibration method.<<ETX>>\",\"PeriodicalId\":183796,\"journal\":{\"name\":\"Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.1993.290894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.1993.290894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DOA estimation with sensor gain, phase and position perturbations
In array processing, super-resolution eigenstructure direction-of-arrival (DOA) estimation methods are known to be sensitive to sensor gain, phase and position perturbations. This paper presents a method to calibrate sensor gain, phase and position errors, simultaneously, which is based on three or more disjoint sources in known directions. The method can be applied to arbitrary arrays and low SNR cases. Computer simulations are given to demonstrate the performance of the calibration method.<>
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