{"title":"The analysis of nonlinear spatial compensation for a complex of interferences using an optimal spatial structure","authors":"S. Gusev, Y. Parshin, S. Kolesnikov","doi":"10.1109/CRMICO.2014.6959447","DOIUrl":null,"url":null,"abstract":"The analysis of estimation-correlation-compensation signal processing algorithm in presence of both broadband Gaussian interferences and non-Gaussian interference is carried out. It is assumed that the processing realized by optimizing amplitude-phase distribution at the antenna array aperture, by optimizing the spatial structure of processing system, as well as by the subsequent non-linear compensation of non-Gaussian interference and by correlation processing. The analytical expression for the signal-to-noise ratio is obtained, thereby allowing making the spatial structure optimization.","PeriodicalId":6662,"journal":{"name":"2014 24th International Crimean Conference Microwave & Telecommunication Technology","volume":"74 1","pages":"393-394"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 24th International Crimean Conference Microwave & Telecommunication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRMICO.2014.6959447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The analysis of estimation-correlation-compensation signal processing algorithm in presence of both broadband Gaussian interferences and non-Gaussian interference is carried out. It is assumed that the processing realized by optimizing amplitude-phase distribution at the antenna array aperture, by optimizing the spatial structure of processing system, as well as by the subsequent non-linear compensation of non-Gaussian interference and by correlation processing. The analytical expression for the signal-to-noise ratio is obtained, thereby allowing making the spatial structure optimization.
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