Chuanzhang Wu, Baixiao Chen, Minglei Yang, Mei Dong
{"title":"一种模糊频谱干扰参数估计与抑制方法","authors":"Chuanzhang Wu, Baixiao Chen, Minglei Yang, Mei Dong","doi":"10.1109/icfsp48124.2019.8938071","DOIUrl":null,"url":null,"abstract":"We address the problem of suppressing smeared spectrum (SMSP) jamming from the received mixed signal of radar. In order to come up with a novel suppression algorithm based on parameter estimation, we resort to the time-frequency analysis of jamming signal. The short-time Fourier transform (STFT) of jamming signal is derived. Based on the fact that the jamming-to-target ratio (JSR) is always positive, the estimation methods for different parameters of SMSP jamming are given. The jamming signal is reconstructed and then suppressed by subtracting it from the mixed signal. The estimated performance of this method is verified by Monte Carlo simulation, and the results indicate the effectiveness of the proposed method.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Method of Parameter Estimation and Suppression for Smeared Spectrum Jamming\",\"authors\":\"Chuanzhang Wu, Baixiao Chen, Minglei Yang, Mei Dong\",\"doi\":\"10.1109/icfsp48124.2019.8938071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem of suppressing smeared spectrum (SMSP) jamming from the received mixed signal of radar. In order to come up with a novel suppression algorithm based on parameter estimation, we resort to the time-frequency analysis of jamming signal. The short-time Fourier transform (STFT) of jamming signal is derived. Based on the fact that the jamming-to-target ratio (JSR) is always positive, the estimation methods for different parameters of SMSP jamming are given. The jamming signal is reconstructed and then suppressed by subtracting it from the mixed signal. The estimated performance of this method is verified by Monte Carlo simulation, and the results indicate the effectiveness of the proposed method.\",\"PeriodicalId\":162584,\"journal\":{\"name\":\"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icfsp48124.2019.8938071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icfsp48124.2019.8938071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method of Parameter Estimation and Suppression for Smeared Spectrum Jamming
We address the problem of suppressing smeared spectrum (SMSP) jamming from the received mixed signal of radar. In order to come up with a novel suppression algorithm based on parameter estimation, we resort to the time-frequency analysis of jamming signal. The short-time Fourier transform (STFT) of jamming signal is derived. Based on the fact that the jamming-to-target ratio (JSR) is always positive, the estimation methods for different parameters of SMSP jamming are given. The jamming signal is reconstructed and then suppressed by subtracting it from the mixed signal. The estimated performance of this method is verified by Monte Carlo simulation, and the results indicate the effectiveness of the proposed method.
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