基于改进遗传算法的捷变相位编码组优化设计
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摘要
针对低重频相参雷达面临的同频干扰、转发式干扰等问题,设计具有低自相关副瓣和互相关峰的捷变相位编码组是一个有效解决手段。根据脉冲积累后的自相关及互相关峰设计代价函数,提出了一种改进的遗传优化算法来搜索捷变相位码组,该算法加入了种群筛选机制和自适应变异概率策略,弥补了基本算法的缺点,提高了算法的收敛速度。仿真结果表明:在搜索捷变编码组方面改进后的算法优于基本遗传算法。
For the problem of interference at same frequency and transpond jamming faced by low pulse repetition frequency coherent radar, one effective solution is to design agility phase-coding group with low self-correlated side-lobe and mutual-correlated peak. Cost function based on self-correlation and mutual-correlation peak after pulse integration is designed, providing one improved generic optimization algorithm for search of agility phase-coding group. Population filtration system and adaptive variance probability strategy are imported by the algorithm, the disadvantage of basic algorithm is made up and convergence velocity of algorithm is increased. The simulation result indicates that the performance of the algorithm with improvement in agility coding group search is better than basic generic algorithm.
For the problem of interference at same frequency and transpond jamming faced by low pulse repetition frequency coherent radar, one effective solution is to design agility phase-coding group with low self-correlated side-lobe and mutual-correlated peak. Cost function based on self-correlation and mutual-correlation peak after pulse integration is designed, providing one improved generic optimization algorithm for search of agility phase-coding group. Population filtration system and adaptive variance probability strategy are imported by the algorithm, the disadvantage of basic algorithm is made up and convergence velocity of algorithm is increased. The simulation result indicates that the performance of the algorithm with improvement in agility coding group search is better than basic generic algorithm.
引文
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[2] 向敬成,陈辅新,李黎明.波形捷变二相编码信号产生与处理系统设计及实现[J].信号处理,1993,9(3):130-134.XIANG Jingcheng,CHEN Fuxin,LI Liming.The design and implementation of biphase coded signal generation and processing system with waveform agility[J].Signal Processing,1993,9(3):130-134.
[3] DENG H.Polyphase code design for orthogonal netted radar systems[J].IEEE Transaction on Signal Processing,2004,52(1):3126-3135.
[4] DENG H.Synthesis of binary sequences with good auto-correlation and cross-correlation properties by simulated annealing[J].IEEE Transactions on Aerospace and Electronic Systems,1996,32(1):98-107.
[5] 姚铭君,袁伟明,邢文革.基于混合优化算法的正交多相码的设计[J].现代雷达,2007,29(7):55-58.YAO Mingjun,YUAN Weiming,XING Wenge.Polyphase orthogonal code design based on hybrid optimization algorithm[J].Modern Radar,2007,29(7):55-58.
[6] 刘波,何子述.基于遗传算法的正交多相码设计[J].电子测量与仪器学报,2008,22(2):62-66.LIU Bo,He Zishu.Genetic algorithm based MIMO radar polyphase code design[J].Journal of Electronic Measurement and Instrument,2008,22(2):62-66.
[7] 李晓明,罗钉.基于遗传算法的MIMO雷达正交编码信号波形优化[J].电子科技,2011,24(7):133-136.LI Xiaoming,LUO Ding.Orthogonal code design based on the genetic algorithm for MIMO radar[J].Electronic Science and Technology,2011,24(7):133-136.
[8] 林厚宏.基于波形捷变的雷达抗干扰技术研究[D].成都:电子科技大学,2016.LIN Houhong.Research on radar anti jamming technology based on waveform agility[D].Chengdu:University of Electronic Science and Technology of China,2016.
[9] 曹道友.基于改进遗传算法的应用研究[D].合肥:安徽大学,2010.CAO Daoyou.Research and applications based on improved genetic algorithm[D].Hefei:Anhui University,2010.