均匀先验分布Bayesian自适应波束形成方法

针对UUV舷侧阵存在观测信号波达方向估计结果有误差的情况,提出了基于均匀先验分布的Bayesian自适应波束形成方法(UB)。该方法假设期望信号的到达方向是区间内服从均匀先验分布的一个变量,利用含有均匀先验分布信息的阵列接收数据和Bayesian后验分布来估计期望信号的到达方向,最后计算权矢量。仿真结果表明,该方法对观测信号方向误差具有较好的稳健性,其阵列方向图的主波束不受观测方向误差的影响,始终对准信号的到达方向,其输出信干噪比随着输入信噪比、快拍数的增加而稳定增加,随着观测方向误差的增大而保持稳定的恒定值。

Uniformly priorized Bayesian adaptive beamforming method

This paper proposed a uniform prior distribution based Bayesian adaptive beamforming algorithm (UB) for UUV flank array under the presence of the DOA error. The DOA of the desired signal is assumed to be a random variable with a prior uniformly distribution in an interval. By using the received data vectors, which considers the average effect of the DOA error, and the Bayesian posterior distribution, UB can estimate the DOA of the desired signal, subsequently calculate the weight vectors. Simulation results show that the algorithm outperforms other beamforming algorithms with the presence of the desired DOA error. The mainlobe of array beampattern always aligned with the direction of the arrival signal. The output signal to inference noise ratio (SINR) increases steadily with the input signal to inference noise ratio (SNR) and the number of snapshots. Simultaneously, it also maintains a stable constant value with the error of observed direction increases.