基于量子遗传算法的MIMO雷达正交信号波形设计

MIMO Radar Orthogonal Waveform Design Based on Quantum Genetic Algorithm

正交信号波形设计是MIMO雷达领域的研究热点,随着技术的发展,MIMO雷达对正交信号波形的性能要求越来越高。针对现有MIMO雷达正交信号波形互相关峰值较高且算法收敛速度慢的问题,为了提高长序列正交信号波形的性能,本文使用量子遗传算法,将量子计算与遗传算法相结合,进一步降低了波形的互相关峰值,降低了不同目标回波之间的相互干扰,提高了雷达系统的检测性能。仿真试验的结果表明,该方法能有效提高波形的正交性能,并加快了优化的速度。

Orthogonal signal waveform design is a research hotspot in the field of MIMO radar. With the development of technology, the performance requirement of MIMO radar on orthogonal signal waveform is becoming higher. At present, the orthogonal signal of MIMO radar has the problem of high waveform cross-correlation peak and slow convergence speed. In order to improve the performance of long orthogonal signal waveform, quantum genetic algorithm(QGA)was used in this paper to combine quantum computation and genetic algorithm to reduce the cross correlation peak of waveform. We reduced the mutual interference between different target echoes and improved the detection performance of radar system. Simulation results show that this method can effectively improve the orthogonal performance of waveforms and speed up the optimization speed.