{"title":"混沌双相序列调制雷达干扰信号的优化设计方法","authors":"Guoxi Han, Jun He, Jianqing Qi","doi":"10.1109/CIS.2012.18","DOIUrl":null,"url":null,"abstract":"An optimization design method of the integrated signal in modern radar and jammer integration system is presented based on improved chaos genetic algorithm. The bi-phase sequences are generated based on the spatiotemporal chaos system and the optimization model of bi-phase sequences of chaos is constituted based on the design principles of the integrated signal. Then, the improved chaos genetic algorithm based on adaptive choice strategy is applied to solve the model and the calculation steps are presented in detail. Finally, the idiographic examples are analyzed and the simulation results have shown that the improved chaos genetic algorithm is valid and applicable for the optimization design of integrated radar and jammer signal and meanwhile the acquired bi-phase encoding signal of chaos possesses fine resolution for power and jamming characteristics.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"07 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Optimization Design Method of Integrated Radar and Jammer Signal Modulated by Bi-phase Sequences of Chaos\",\"authors\":\"Guoxi Han, Jun He, Jianqing Qi\",\"doi\":\"10.1109/CIS.2012.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An optimization design method of the integrated signal in modern radar and jammer integration system is presented based on improved chaos genetic algorithm. The bi-phase sequences are generated based on the spatiotemporal chaos system and the optimization model of bi-phase sequences of chaos is constituted based on the design principles of the integrated signal. Then, the improved chaos genetic algorithm based on adaptive choice strategy is applied to solve the model and the calculation steps are presented in detail. Finally, the idiographic examples are analyzed and the simulation results have shown that the improved chaos genetic algorithm is valid and applicable for the optimization design of integrated radar and jammer signal and meanwhile the acquired bi-phase encoding signal of chaos possesses fine resolution for power and jamming characteristics.\",\"PeriodicalId\":294394,\"journal\":{\"name\":\"2012 Eighth International Conference on Computational Intelligence and Security\",\"volume\":\"07 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Eighth International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2012.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Eighth International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2012.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimization Design Method of Integrated Radar and Jammer Signal Modulated by Bi-phase Sequences of Chaos
An optimization design method of the integrated signal in modern radar and jammer integration system is presented based on improved chaos genetic algorithm. The bi-phase sequences are generated based on the spatiotemporal chaos system and the optimization model of bi-phase sequences of chaos is constituted based on the design principles of the integrated signal. Then, the improved chaos genetic algorithm based on adaptive choice strategy is applied to solve the model and the calculation steps are presented in detail. Finally, the idiographic examples are analyzed and the simulation results have shown that the improved chaos genetic algorithm is valid and applicable for the optimization design of integrated radar and jammer signal and meanwhile the acquired bi-phase encoding signal of chaos possesses fine resolution for power and jamming characteristics.