时空联合估计权向量的MVDR自适应波束形成方法

Study on MVDR Beamforming Based on the Temporal and Spatial Union Estimation of Weight Vectors

为实现短数据条件下权向量的稳定优化估计,提出1种时空联合估计权向量的MVDR自适应波束形成方法。该方法结合时域解析信号的MVDR自适应波束形成算法中构造时域解析信号的方法和直接数据域算法中空间滑动的方法,以减少一半权向量为代价,实现了在更短的数据长度下稳定优化地估计协方差矩阵和权向量。数值仿真实验和海上实验数据处理结果表明:与常规波束形成和直接数据域相比,该方法具有更好的稳定性和更好的波束性能,即主瓣更窄,旁瓣更低,阵增益更高。

To realize the stable optimal estimation of weight vectors, a novel approach tor temporal anti spatial union computation of adaptive weight vectors was proposed temporal and Spatio union MVDR adaptive beamforming（TSMVDR） . The new approach combined TAMVDR＇s construction of Time-domain signal with DDDs spatial sliding motion. At the cost of reducing half of weight vectors, it could eatimate the covariance matrix and weight vectors with shorter data length than the existing method optimally and stably. It was shown by simulation and experimental data on the sea processing results that, compared with the CBF, and DDD, the new approach was of better stability and better beam performance, For the main lobe is narrower, the side lobe is lower and the array agin is higher.