单快拍相干信号自适应波束形成方法

针对低快拍条件下相干信号波束形成问题,提出一种单快拍相干自适应波束形成方法。首先,构造Duvall特征消除器滤除阵列接收信号中的期望信号,再利用空间平滑方法解相关。然后,依据Hung Tuner算法对平滑后的协方差矩阵进行Gram Schmidt正交化,快速重构干扰信号子空间。最后,将静态权矢量在干扰子空间内的正交投影作为波束形成最优权矢量。该算法可有效避免协方差矩阵求逆和特征分解造成的复杂计算,且能降低由于期望信号泄露造成的子空间估计误差,在单快拍条件下性能良好。仿真分析验证了算法的优越性和理论分析的有效性。

Adaptive beamforming algorithm for coherent signal in single snapshot case

To solve the interference cancellation problem of the coherent adaptive beamforming with small snapshot number, a new Hung Tuner projection (HTP) algorithm based adaptive beamformer in single snapshot case is proposed. First, a Duvall eigenanalysis canceler is constructed to remove the signal of interest (SOI) in the received signal. Then the spatial smoothing is applied to decorrelate the coherent signals, after which the interference subspace is reconstructed rapidly using HTP algorithm with Gram Schmidt orthogonalization. Finally, the optimal weight vector is obtained as an orthogonal projection onto the interference subspace of the static vector. Simulation proves that the proposed method can reduce the subspace estimation error caused by the leakage of the SOI, and is computationally simple as well as beneficial to real time processing.