{"title":"一种新的多分量线性调频发射极信号分析方法","authors":"Qiang Guo, Liu Ya-jun, Changhong Wang, Wan Jian","doi":"10.1109/ISSCAA.2010.5632630","DOIUrl":null,"url":null,"abstract":"To effectively detect and recognize multi-component Linear Frequency-Modulated(LFM) emitter signals, a multi-component LFM emitter signal analysis method based on the Independent Component Analysis(ICA) which was combined with the Wigner-Hough transform was proposed. The idea which was adopted to this method was the time-domain separation and then time-frequency analysis, and in the low SNR cases, the problem which is generally plagued by noised of feature extraction of multi-component LFM signal based on Wigner-Hough transform is overcame. Compared to the traditional method of time-frequency analysis, the computer simulation results show that the proposed method for the multi-component LFM signal separation and feature extraction was better.","PeriodicalId":324652,"journal":{"name":"2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A new analysis method for multi-component Linear Frequency Modulated emitter signals\",\"authors\":\"Qiang Guo, Liu Ya-jun, Changhong Wang, Wan Jian\",\"doi\":\"10.1109/ISSCAA.2010.5632630\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To effectively detect and recognize multi-component Linear Frequency-Modulated(LFM) emitter signals, a multi-component LFM emitter signal analysis method based on the Independent Component Analysis(ICA) which was combined with the Wigner-Hough transform was proposed. The idea which was adopted to this method was the time-domain separation and then time-frequency analysis, and in the low SNR cases, the problem which is generally plagued by noised of feature extraction of multi-component LFM signal based on Wigner-Hough transform is overcame. Compared to the traditional method of time-frequency analysis, the computer simulation results show that the proposed method for the multi-component LFM signal separation and feature extraction was better.\",\"PeriodicalId\":324652,\"journal\":{\"name\":\"2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCAA.2010.5632630\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCAA.2010.5632630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new analysis method for multi-component Linear Frequency Modulated emitter signals
To effectively detect and recognize multi-component Linear Frequency-Modulated(LFM) emitter signals, a multi-component LFM emitter signal analysis method based on the Independent Component Analysis(ICA) which was combined with the Wigner-Hough transform was proposed. The idea which was adopted to this method was the time-domain separation and then time-frequency analysis, and in the low SNR cases, the problem which is generally plagued by noised of feature extraction of multi-component LFM signal based on Wigner-Hough transform is overcame. Compared to the traditional method of time-frequency analysis, the computer simulation results show that the proposed method for the multi-component LFM signal separation and feature extraction was better.