{"title":"基于frft域自适应滤波算法的微弱信号检测","authors":"Jie Xia, Jian-Yun Zhang, Xiaobo Li, Yunxiang Mao","doi":"10.1109/RADAR.2016.8059461","DOIUrl":null,"url":null,"abstract":"Traditional time-domain adaptive filtering has limitation in signal detection and estimation under condition of low SNR. Therefore, a method of weak signal detection based on FRFT-domain adaptive filtering algorithm is presented. The method utilizes excellent features of FRFT(Fractional Fourier Transformation) specific to LFM signals, processes echo signals through adaptive filtering algorithm on FRFT domain and improves detection effects. Simulation results show that the proposed method can detect and estimate echo signals effectively under condition of low SNR and exceeds time-domain adaptive filtering on filtering effects.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Weak signal detection based on FRFT-domain adaptive filtering algorithm\",\"authors\":\"Jie Xia, Jian-Yun Zhang, Xiaobo Li, Yunxiang Mao\",\"doi\":\"10.1109/RADAR.2016.8059461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional time-domain adaptive filtering has limitation in signal detection and estimation under condition of low SNR. Therefore, a method of weak signal detection based on FRFT-domain adaptive filtering algorithm is presented. The method utilizes excellent features of FRFT(Fractional Fourier Transformation) specific to LFM signals, processes echo signals through adaptive filtering algorithm on FRFT domain and improves detection effects. Simulation results show that the proposed method can detect and estimate echo signals effectively under condition of low SNR and exceeds time-domain adaptive filtering on filtering effects.\",\"PeriodicalId\":245387,\"journal\":{\"name\":\"2016 CIE International Conference on Radar (RADAR)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 CIE International Conference on Radar (RADAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.8059461\",\"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 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Weak signal detection based on FRFT-domain adaptive filtering algorithm
Traditional time-domain adaptive filtering has limitation in signal detection and estimation under condition of low SNR. Therefore, a method of weak signal detection based on FRFT-domain adaptive filtering algorithm is presented. The method utilizes excellent features of FRFT(Fractional Fourier Transformation) specific to LFM signals, processes echo signals through adaptive filtering algorithm on FRFT domain and improves detection effects. Simulation results show that the proposed method can detect and estimate echo signals effectively under condition of low SNR and exceeds time-domain adaptive filtering on filtering effects.