Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (2): 212-215.

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Optimization design of radar and jammer integration signal based on improved chaos genetic algorithm

HAN Guoxi, HE Jun, PAN Qizhong   

  1. Electronic Engineering Institute, Hefei 230037, China
  • Online:2014-01-15 Published:2014-01-26

基于ICGA的雷达与雷达干扰一体化信号的优化设计

韩国玺,何  俊,潘启中   

  1. 电子工程学院,合肥 230037

Abstract: The optimization design of integrated signal plays an important role in modern radar and jammer integration system. According to the characteristics of Pseudo-random signal, the bi-phase sequences are generated using spatiotemporal chaos system. Meanwhile, the optimization model is constituted based on the design principles of integrated signal. The chaos genetic algorithm based on adaptive choice strategy is applied to solve the model and the calculation steps are presented in detail. The idiographic examples are analyzed and the simulation results show that the improved chaos genetic algorithm is valid and applicable for the optimization design of radar and jammer integration signal.

Key words: chaos genetic algorithm, radar and jammer integration, integrated signal, optimization design

摘要: 现代雷达与雷达干扰一体化系统中一体化信号的优化设计对整个系统性能发挥具有深远意义。结合伪随机信号特点,运用时空混沌系统构造伪随机二相序列,并在分析一体化信号设计原则的基础上建立了一体化二相序列的优化模型,将基于自适应排序选择策略的混沌遗传算法应用于求解序列优化模型,给出了具体的解算步骤,并进行了实例仿真。仿真结果表明改进的混沌遗传算法有效地解决了雷达与雷达干扰一体化信号优化设计问题,得到了性能良好的一体化信号。

关键词: 混沌遗传算法, 雷达与雷达干扰一体化, 一体化信号, 优化设计