该文提出了一种用于自适应阵列的自适应加权空间平滑算法。通过构造虚拟自适应波束形成问题求取用于子阵协方差矩阵加权的加权向量,然后进行加权空间平滑自适应波束形成。理论分析与仿真结果表明,新算法能更有效地降低期望信号和干扰之间的相关性,使得用于空间平滑的子阵数减少,以降低阵列孔径损失。
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.