Xie Shao-bin, He Zishu, Liu Lidong, Xie Sheng, Wang Anan
{"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}
引用次数: 0
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.