{"title":"一种提高广义逆波束形成性能的方法","authors":"Dehu Zhang, Tailiang Ju","doi":"10.1109/ICCT46805.2019.8947105","DOIUrl":null,"url":null,"abstract":"The generalized inverse beamforming algorithm only considers the currently selected target points to calculate the distribution of source amplitude during this iteration, but does not consider the result of the previous iteration. An improved generalized inverse beamforming algorithm has been introduced, which can improve the performance of generalized inverse beamforming algorithm. This is verified experimentally. It is proved to be a good method to improve generalized inverse beamforming algorithm.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Approach for Improving the Performance of Generalized Inverse Beamforming\",\"authors\":\"Dehu Zhang, Tailiang Ju\",\"doi\":\"10.1109/ICCT46805.2019.8947105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The generalized inverse beamforming algorithm only considers the currently selected target points to calculate the distribution of source amplitude during this iteration, but does not consider the result of the previous iteration. An improved generalized inverse beamforming algorithm has been introduced, which can improve the performance of generalized inverse beamforming algorithm. This is verified experimentally. It is proved to be a good method to improve generalized inverse beamforming algorithm.\",\"PeriodicalId\":306112,\"journal\":{\"name\":\"2019 IEEE 19th International Conference on Communication Technology (ICCT)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 19th International Conference on Communication Technology (ICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT46805.2019.8947105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT46805.2019.8947105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Approach for Improving the Performance of Generalized Inverse Beamforming
The generalized inverse beamforming algorithm only considers the currently selected target points to calculate the distribution of source amplitude during this iteration, but does not consider the result of the previous iteration. An improved generalized inverse beamforming algorithm has been introduced, which can improve the performance of generalized inverse beamforming algorithm. This is verified experimentally. It is proved to be a good method to improve generalized inverse beamforming algorithm.
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