在近场条件下运用遗传算法对MIMO雷达阵列进行优化. 构造优化MIMO阵列近场方向图旁瓣的适应度函数，提出一种基于FFT的快速算法用以高效评估适应度，采用“成对交叉策略”保证遗传算法进化过程中阵列稀疏率恒定. 对有无对称约束两种情况下的阵列优化结果进行比较，分析表明，若在MIMO阵列优化中加入对称
约束，则优化针对的聚焦点所在距离上所有角度均小于该点的目标，用优化所得之阵列扫描它们时可保持性能.
This paper optimizes MIMO radar arrays in the near field using the genetic algorithm (GA). GA determines which elements are turned on in the two periodic arrays (transmitting and receiving arrays) to yield the lowest maximum relative sidelobe level. A fitness function of GA for MIMO radar near field pattern is
constructed, and a fast method based FFT is given to calculate the function. A pair crossover strategy is used to make a constant thinned ratio. Simulations are performed to compare the optimization of MIMO radar with symmetric and asymmetric arrays. Analysis shows that, by optimizing the MIMO radar with symmetric arrays and when focusing on a point in the detecting region, they can yield arrays that can maintain the performance when scanning other points in the same range and with a smaller angle.
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