基于粒子群算法的水下多元线阵阵形有源校正方法

针对存在阵元位置误差的水下多元线阵,提出一种基于粒子群优化算法的远场有源阵形校正方法.该方法选用2个辅助源分时工作方式,利用无条件最大似然方位估计算法构建目标函数,并通过粒子群算法对阵元位置进行寻优.利用该方法对均匀线阵进行性能仿真实验.结果表明:该方法稳健性好、校正精度高,具有一定的应用前景.

Array shape calibration of underwater linearray with multiple sources based on particle swarm optimization

Aiming at the sensors position errors of the underwater linear array with multiple sensors,a far-filed array shape calibration method with multiple sources is proposed.The method chooses two sources working at different time and constructs objective function with unconditional maximum likelihood.Then,it optimizes the sensors position errors with the particle swarm optimization.Computer simulation is used for the uniform linear array with the mentioned method and the res-ult shows that the method has good robustness,high accuracy and it is promising in application.