激光与光电子学进展, 2018, 55 (8): 080702, 网络出版: 2018-08-13  

基于混合遗传鸡群优化算法的雷达正交波形设计 下载: 591次

Design of Radar Orthogonal Waveform Based on Hybrid Genetic Chicken Swarm Optimization Algorithm
作者单位
江南大学物联网工程学院, 江苏 无锡 214122
摘要
针对复杂战场环境下同型号舰载雷达发射信号之间容易出现同频干扰的问题,设计出具有正交特性的调频编码信号。对常规的正交波形编码的搜索方向进行改进,利用混合遗传鸡群算法找出具有低自相关特性和低互相关特性的编码序列。该算法利用反向学习的鸡群算法进行搜索寻优,引入学习因子和遗传算法中的变异和交叉思想对个体进行更新迭代。在适应度函数中引入集对分析联系度综合评价,根据集对分析联系度来引导算法的搜索方向,得到具有更好正交特性的调频编码序列脉冲信号。对得到的雷达信号的模糊函数、回波信号的匹配滤波情况以及不同雷达数量下仿真信号的正交性分别进行仿真,仿真结果验证了所设计的调频编码信号能达到抗同频干扰的目的。
Abstract
Considering the problem that the same frequency interference is easy to occur between the radar signals transmitted by the shipborne radar with same type in the complex battlefield environment, we design a frequency modulation (FM) coded signal with orthogonal characteristics. The search direction of conventional waveform coding with the orthogonal characteristic is improved, and the hybrid genetic chicken swarm optimization (HGCSO) is used to identify the coding sequences with low autocorrelation and low cross correlation characteristics. We adopt the back-learning chicken swarm algorithm to search the optimal values, and introduce the learning factor and the idea of mutation and crossover in genetic algorithm to update the individuals. A comprehensive evaluation of set pair analysis is used in fitness function, and the search direction is guided according to the relational degree of setting pair analysis to get a FM coding sequence pulse signal with excellent orthogonality. The fuzzy function of the obtained radar signal, the matched filtering of the echo signal, and the orthogonality of the simulation signal at different radar numbers are simulated respectively, and the results of simulations show that the FM coded signal designed by this algorithm can effectively resist the same frequency interference.

杨俊辉, 刘以安. 基于混合遗传鸡群优化算法的雷达正交波形设计[J]. 激光与光电子学进展, 2018, 55(8): 080702. Yang Junhui, Liu Yian. Design of Radar Orthogonal Waveform Based on Hybrid Genetic Chicken Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(8): 080702.

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