{"title":"基于空间信号预处理的自适应收敛算法研究","authors":"S. Gusev, O. Spirkina","doi":"10.1109/MECO.2016.7525766","DOIUrl":null,"url":null,"abstract":"The paper investigates a problem of increasing convergence rate for the process of adaptive weight vector adjustment in spatially reconfigurable antenna systems on the background of point-source interferences. It is shown that pre-processing with adjustment of adaptive antenna array element spacing gives the capability to reduce considerably eigenvalues spread of spatial correlation matrix and to obtain faster convergence of gradient adaptation algorithm.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A research of an adaptation algorithm convergence using spatial signal pre-processing\",\"authors\":\"S. Gusev, O. Spirkina\",\"doi\":\"10.1109/MECO.2016.7525766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper investigates a problem of increasing convergence rate for the process of adaptive weight vector adjustment in spatially reconfigurable antenna systems on the background of point-source interferences. It is shown that pre-processing with adjustment of adaptive antenna array element spacing gives the capability to reduce considerably eigenvalues spread of spatial correlation matrix and to obtain faster convergence of gradient adaptation algorithm.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"198 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525766\",\"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 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A research of an adaptation algorithm convergence using spatial signal pre-processing
The paper investigates a problem of increasing convergence rate for the process of adaptive weight vector adjustment in spatially reconfigurable antenna systems on the background of point-source interferences. It is shown that pre-processing with adjustment of adaptive antenna array element spacing gives the capability to reduce considerably eigenvalues spread of spatial correlation matrix and to obtain faster convergence of gradient adaptation algorithm.