An Adaptive Weighted Spatial Smoothing Algorithm Utilizing Virtual Beamforming
一种虚拟波束形成自适应加权空间平滑算法

An adaptive weighted spatial smoothing algorithm is developed for adaptive arrays. By constructing a virtual issue of adaptive beamforming, the weight vector is obtained to weight the covariance matrixes of subarrays. Then, weighted spatial smoothing is processed and beamforming follows that. The theoretical analysis and simulation results show that the new algorithm can decorrelate the desired signal and the coherent interferences more efficiently, with the result that the number of sub-arrays needed decreases and the array aperture loss is reduced in spatial smoothing.