密集假目标干扰峰均比优化方法分析

Optimization Method for Peak-to-Average Power Ratio of Dense False Target Jamming

针对延迟叠加产生密集假目标干扰存在峰均比(Peak-to-Average Power Ratio,PAPR)过高的问题,分析了现有多相序列调制法的适应性。针对其不足,提出了一种利用粒子群算法(Particle Swarm Optimization,PSO)优化干扰波形以降低峰均比的方法。首先基于雷达发射线性调频脉冲信号,建立延迟叠加产生密集假目标干扰的信号模型。然后以最小化干扰波形的峰均比为目标函数,结合干扰调制参数约束条件形成优化问题。随后利用PSO得到干扰调制参数的次优解,最终通过仿真实验验证了所提方法的有效性。

To solve the problem of high peak-to-average power ratio(PAPR) of dense false target jamming generated by time-delay superposition,the adaptability of existing polyphase sequence modulation methods is analyzed.To address its shortcomings,a method using particle swarm optimization(PSO) to optimize jamming waveforms and reduce PAPR is proposed.Firstly,based on the linear frequency modulation pulse signal emitted by the radar,a signal model is established to generate dense false target jamming through time-delay superposition.Then,the optimization problem is formed by minimizing the PAPR of jamming waveforms as the objective function,combined with jamming modulation parameter constraints.Subsequently,the suboptimal solution of the jamming modulation parameters is obtained using PSO,and the effectiveness of the proposed method is ultimately verified through simulation experiments.