{"title":"一种简单的联合MUSIC-phase difference拟合DOA估计方法","authors":"Wentao Zhang, C. Miao, Wen Wu, Yue Ma","doi":"10.1109/IMBioC52515.2022.9790237","DOIUrl":null,"url":null,"abstract":"The application of direction of arrival (DOA) estimation techniques has increased in the biomedical field such as human body condition detection and medical imaging. In this paper, a joint Multiple Signal Classification Algorithm (MUSIC)-phase difference fitting DOA estimation algorithm is proposed. Theoretical analysis and simulation results show that it requires low computational effort and provides excellent estimation accuracy when the signal-to-noise ratio (SNR) is high. The algorithm also has good estimation accuracy at low SNRs.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A simple joint MUSIC-phase difference fitting DOA estimation method\",\"authors\":\"Wentao Zhang, C. Miao, Wen Wu, Yue Ma\",\"doi\":\"10.1109/IMBioC52515.2022.9790237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of direction of arrival (DOA) estimation techniques has increased in the biomedical field such as human body condition detection and medical imaging. In this paper, a joint Multiple Signal Classification Algorithm (MUSIC)-phase difference fitting DOA estimation algorithm is proposed. Theoretical analysis and simulation results show that it requires low computational effort and provides excellent estimation accuracy when the signal-to-noise ratio (SNR) is high. The algorithm also has good estimation accuracy at low SNRs.\",\"PeriodicalId\":305829,\"journal\":{\"name\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMBioC52515.2022.9790237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMBioC52515.2022.9790237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simple joint MUSIC-phase difference fitting DOA estimation method
The application of direction of arrival (DOA) estimation techniques has increased in the biomedical field such as human body condition detection and medical imaging. In this paper, a joint Multiple Signal Classification Algorithm (MUSIC)-phase difference fitting DOA estimation algorithm is proposed. Theoretical analysis and simulation results show that it requires low computational effort and provides excellent estimation accuracy when the signal-to-noise ratio (SNR) is high. The algorithm also has good estimation accuracy at low SNRs.