基于遗传算法的MCPC雷达波形优化设计

Optimal Waveform Design Based on Genetic Algorithm for MCPC Radar

多载波相位编码(multicarrier phase-coded,MCPC)信号作为一种宽带雷达信号,由于具有高频谱利用率,良好的抗干扰能力和调制解调简单等优势而在近几年备受瞩目。但MCPC信号具有较大的包络起伏,这对雷达内部功率放大器的线性动态范围提出极高要求。本文首先针对MCPC信号包络起伏大这一主要缺点,对MCPC雷达信号进行建模并分析信号特点,使用遗传算法,对MCPC雷达信号子载波权重进行调节,该算法在满足功率约束前提下,可得到具有较低包络峰均功率比(peak-to-mean envelope power ratio,PMEPR)的优化信号;然后进一步将满足要求的低PMEPR值设为约束,对MCPC信号自相关旁瓣进行抑制。仿真实验结果表明该方法能在有效降低MCPC的包络峰均比的同时,使发射信号具有良好的自相关特性,优化方法具有实际应用价值。

As the increasing demands of military detection, radar waveform design for various requirements is a challenging and urgent problem. Multicarrier phase coded signal is a kind of wideband radar signature which is widely acknowledged for its merits of high spectrum efficiency, decent anti-jamming and simple digital process. However, a major drawback of the MCPC signal is its varying amplitude and MCPC sequence design meeting power amplitude requirement is a challenging and urgent problem. We model the radar signature and analyze the signature characteristics, then we adjust the complex weight of the subcarriers to get the lower PMEPR under the energy power constraint based on the genetic algorithm. Furthermore, we set the PMEPR as a constraint to reduce the autocorrelation sidelobe. Simulation results show that the method have a good performance and practical applications.