阵元失效会破坏拖曳线列阵的幅相分布，导致阵列的旁瓣级出现明显升高，严重影响了阵列的性能。阵元失效条件下

的波束形成是一个非线性的最小平方的优化问题，对其直接求解非常困难。针对这一情况，提出了一种基于遗传算法的阵元

失效校准方法。算法的基本思想是将失效阵元的权重强制为零，并使得阵列的实际响应与期望响应在主瓣区域相匹配，同时

对阵列响应的旁瓣级作出限制-Failed elements will des仃oy the amplitude and phase distribution and yield an increase in the sidelobe level．It call

seriously degrade the performance of art towed linear array．Beamforming in the presence of element failure can be seen as a

non-linear least squares fitting question and the computations ale difficult．Aimming at this problem,an optimized method of element

failure correction based on genetic algorithm is presented basic principle is to match the array response to a desired response

over the mainlobe regions and minimize the weighted mean—square value of the response over the sidelobe regions．At the same time,

weights offailed elements are forced to zero．Result ofthe simulation indicates that the method is feasible and effective．