基于改进飞蛾扑火优化算法的MIMO雷达相位编码信号集设计

Phase-coded Signal Set Design of MIMO Radar Based on Modified Moth-flame Optimization Algorithm

  • 摘要: 提出一种MIMO雷达相位编码信号集设计方法,该方法对飞蛾扑火优化算法进行改进,利用改进的飞蛾扑火算法优化相位编码信号集,提高其正交性.在改进方法中,增加对火焰的更新过程,使火焰不仅能够保存最优飞蛾位置还具有搜索最优解的功能.优化过程以自相关函数旁瓣峰值和、互相关函数峰值和,以及自相关函数旁瓣能量、互相关函数能量作为算法适应度函数.仿真实验结果表明,改进方法明显提高了飞蛾扑火优化算法的收敛速度和收敛精度,且优化得到的信号集具有较低的自相关旁瓣值和互相关值.

     

    Abstract: A method is proposed to design a phase-coded signal set for multiple-input multiple-output (MIMO) radar systems. This method is used to optimize the correlation properties and improve the orthogonality of phase-coded signal set through the modified moth-flame optimization algorithm. The modified method introduces a flame-updating mechanism, so that the flame population can not only keep optimal moth positions, but also have the ability of searching for the optimal solution. The fitness function of this algorithm is the sum of autocorrelation peak value and the cross-correlation peak value and the energy of the autocorrelation sidelobe value and cross-correlation value. The simulation results show that the modified moth-flame optimization algorithm effectively improves convergence speed and accuracy. In addition, the phase-coded signal set obtained by the proposed method has a low autocorrelation sidelobe value and cross-correlation value.

     

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