{"title":"基于序列样本的非循环信号参数估计与空间结构优化","authors":"S. Gusev, Y. Parshin","doi":"10.1109/SIBCON.2015.7147171","DOIUrl":null,"url":null,"abstract":"The paper investigates spatial signal processing using antenna arrays. Main attention is paid to the optimization of spatial structure of antenna array to improve noise immunity and estimation accuracy of information parameters. Non-recurrent algorithm of spatial structure optimization with sequential samples is proposed. On the basis of statistical approximation the optimal spatial structure is estimated and the variance of the estimation error is defined.","PeriodicalId":395729,"journal":{"name":"2015 International Siberian Conference on Control and Communications (SIBCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-recurrent signal parameter estimation and optimization of spatial structure based on sequential samples\",\"authors\":\"S. Gusev, Y. Parshin\",\"doi\":\"10.1109/SIBCON.2015.7147171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper investigates spatial signal processing using antenna arrays. Main attention is paid to the optimization of spatial structure of antenna array to improve noise immunity and estimation accuracy of information parameters. Non-recurrent algorithm of spatial structure optimization with sequential samples is proposed. On the basis of statistical approximation the optimal spatial structure is estimated and the variance of the estimation error is defined.\",\"PeriodicalId\":395729,\"journal\":{\"name\":\"2015 International Siberian Conference on Control and Communications (SIBCON)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Siberian Conference on Control and Communications (SIBCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON.2015.7147171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2015.7147171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-recurrent signal parameter estimation and optimization of spatial structure based on sequential samples
The paper investigates spatial signal processing using antenna arrays. Main attention is paid to the optimization of spatial structure of antenna array to improve noise immunity and estimation accuracy of information parameters. Non-recurrent algorithm of spatial structure optimization with sequential samples is proposed. On the basis of statistical approximation the optimal spatial structure is estimated and the variance of the estimation error is defined.