基于遗传算法的阵列相位误差校正

Array phase calibration using genetic algorithm

针对声纳水听器阵列比较突出的相位误差,研究了一种基于遗传算法的阵列校正方法。该方法利用无相位误差时阵列协方差矩阵具有Toeplitz结构的特性构造代价函数,并以此作为遗传算法中进化个体的适应度函数,由算法搜索的最优个体得到阵元相位误差的估值。计算机仿真结果表明,该方法可以明显地减小阵列相位误差对MUSIC算法DOA估计结果的影响。

An array phase calibration method for sonar hydrophone array based on genetic algorithm （ GA ） is described. Based on the Toeplitz character of the array covariance matrix, a new cost function is constructed as the fitness function for the genetic algorithm, and the array phase error estimations can be obtained from the algorithm＇s search results. Computer simulation results show that the proposed method can reduce the array phase errors and improve the DOA estimation performance of MUSIC algorithm.