Xie Shao-bin, He Zishu, Liu Lidong, Xie Sheng, Wang Anan
{"title":"基于多段混沌的调频雷达信号的抗噪和抗干扰性能","authors":"Xie Shao-bin, He Zishu, Liu Lidong, Xie Sheng, Wang Anan","doi":"10.1109/ICECENG.2011.6057439","DOIUrl":null,"url":null,"abstract":"The aim of this paper present an analysis of a Multi-Segment chaos-based frequency modulated (MS CBFM) signals, to focus attention on antinoise and ECCM performances of MS-CBFM radar signals in a noise environment. Selected Logistic, Bernoulli, Tent and Multi-Segment as chaotic function generated CBFM signals. Lyapunov exponent, autocorrelation, power spectra and ambiguity function of selected CBFM signals were calculated, and antinoise performance of CBFM Signals were simulation in a noise environment. From the analysis and results of performance simulation presented in the thesis, it can be said that the use of MS CBFM radar signal, is not only feasible but also advantageous in the field of high-resolution radar imaging in a noise environment.","PeriodicalId":6336,"journal":{"name":"2011 International Conference on Electrical and Control Engineering","volume":"85 1","pages":"4737-4740"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Antinoise and ECCM performances of Multi-Segment chaos-based FM radar signals\",\"authors\":\"Xie Shao-bin, He Zishu, Liu Lidong, Xie Sheng, Wang Anan\",\"doi\":\"10.1109/ICECENG.2011.6057439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper present an analysis of a Multi-Segment chaos-based frequency modulated (MS CBFM) signals, to focus attention on antinoise and ECCM performances of MS-CBFM radar signals in a noise environment. Selected Logistic, Bernoulli, Tent and Multi-Segment as chaotic function generated CBFM signals. Lyapunov exponent, autocorrelation, power spectra and ambiguity function of selected CBFM signals were calculated, and antinoise performance of CBFM Signals were simulation in a noise environment. From the analysis and results of performance simulation presented in the thesis, it can be said that the use of MS CBFM radar signal, is not only feasible but also advantageous in the field of high-resolution radar imaging in a noise environment.\",\"PeriodicalId\":6336,\"journal\":{\"name\":\"2011 International Conference on Electrical and Control Engineering\",\"volume\":\"85 1\",\"pages\":\"4737-4740\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Electrical and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECENG.2011.6057439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Electrical and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECENG.2011.6057439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Antinoise and ECCM performances of Multi-Segment chaos-based FM radar signals
The aim of this paper present an analysis of a Multi-Segment chaos-based frequency modulated (MS CBFM) signals, to focus attention on antinoise and ECCM performances of MS-CBFM radar signals in a noise environment. Selected Logistic, Bernoulli, Tent and Multi-Segment as chaotic function generated CBFM signals. Lyapunov exponent, autocorrelation, power spectra and ambiguity function of selected CBFM signals were calculated, and antinoise performance of CBFM Signals were simulation in a noise environment. From the analysis and results of performance simulation presented in the thesis, it can be said that the use of MS CBFM radar signal, is not only feasible but also advantageous in the field of high-resolution radar imaging in a noise environment.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
