{"title":"基于模糊函数的雷达辐射源信号分选新方法","authors":"Jun Han, M. He, Yuan-qing Zhu, Bin-gang Zhu","doi":"10.1109/NSWCTC.2009.342","DOIUrl":null,"url":null,"abstract":"Sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR), in order to solve this problem, a novel algorithm for sorting radar radiating-source signal is proposed. The ambiguity function of received signal is extracted and predigested to two-dimension characteristic, then decomposed into eight wavelet package transformation (WPT) characteristic parameters whose WPT2 and WPT5 have the best separability and be used as the sorting parameters at last. For ambiguity function of different signal is distinguishing and not sensitive to SNR, the 2 WPT and 5 are divisible and steady. The advantage of this new method is validated by simulation result, and the lowest sorting rate is 90% at SNR=10dB.","PeriodicalId":433291,"journal":{"name":"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Novel Method for Sorting Radar Radiating-Source Signal Based on Ambiguity Function\",\"authors\":\"Jun Han, M. He, Yuan-qing Zhu, Bin-gang Zhu\",\"doi\":\"10.1109/NSWCTC.2009.342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR), in order to solve this problem, a novel algorithm for sorting radar radiating-source signal is proposed. The ambiguity function of received signal is extracted and predigested to two-dimension characteristic, then decomposed into eight wavelet package transformation (WPT) characteristic parameters whose WPT2 and WPT5 have the best separability and be used as the sorting parameters at last. For ambiguity function of different signal is distinguishing and not sensitive to SNR, the 2 WPT and 5 are divisible and steady. The advantage of this new method is validated by simulation result, and the lowest sorting rate is 90% at SNR=10dB.\",\"PeriodicalId\":433291,\"journal\":{\"name\":\"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSWCTC.2009.342\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Networks Security, Wireless Communications and Trusted Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSWCTC.2009.342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Method for Sorting Radar Radiating-Source Signal Based on Ambiguity Function
Sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR), in order to solve this problem, a novel algorithm for sorting radar radiating-source signal is proposed. The ambiguity function of received signal is extracted and predigested to two-dimension characteristic, then decomposed into eight wavelet package transformation (WPT) characteristic parameters whose WPT2 and WPT5 have the best separability and be used as the sorting parameters at last. For ambiguity function of different signal is distinguishing and not sensitive to SNR, the 2 WPT and 5 are divisible and steady. The advantage of this new method is validated by simulation result, and the lowest sorting rate is 90% at SNR=10dB.
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