Jingwei Xu, Yanhong Xu, G. Liao, Shengqi Zhu, Zi-jing Zhang
{"title":"基于协方差矩阵变换的移动干扰抑制方法","authors":"Jingwei Xu, Yanhong Xu, G. Liao, Shengqi Zhu, Zi-jing Zhang","doi":"10.1109/RADAR.2013.6651984","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive moving jammers suppression method based on covariance matrix transforming is proposed. According to the knowledge of parameters of the jammers, we construct a transform matrix thus the covariance matrix could be forecasted through iteratively matrix transforming. This method will save many computation resources and ensure the application of adaptive beamforming in large-scale arrays. Simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":365285,"journal":{"name":"2013 International Conference on Radar","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Covariance matrix transforming based moving jammers suppression method\",\"authors\":\"Jingwei Xu, Yanhong Xu, G. Liao, Shengqi Zhu, Zi-jing Zhang\",\"doi\":\"10.1109/RADAR.2013.6651984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an adaptive moving jammers suppression method based on covariance matrix transforming is proposed. According to the knowledge of parameters of the jammers, we construct a transform matrix thus the covariance matrix could be forecasted through iteratively matrix transforming. This method will save many computation resources and ensure the application of adaptive beamforming in large-scale arrays. Simulation results demonstrate the effectiveness of the proposed method.\",\"PeriodicalId\":365285,\"journal\":{\"name\":\"2013 International Conference on Radar\",\"volume\":\"159 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Radar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2013.6651984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2013.6651984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Covariance matrix transforming based moving jammers suppression method
In this paper, an adaptive moving jammers suppression method based on covariance matrix transforming is proposed. According to the knowledge of parameters of the jammers, we construct a transform matrix thus the covariance matrix could be forecasted through iteratively matrix transforming. This method will save many computation resources and ensure the application of adaptive beamforming in large-scale arrays. Simulation results demonstrate the effectiveness of the proposed method.