A Robust Beamforming Algorithm Based on Adaptive Gauss Legendre Integration
Aiming at the problem of large computation in the process of covariance matrix reconstruction,a ro-bust beamforming algorithm based on adaptive Gauss Legendre integral was proposed to reconstruct the covari-ance matrix and improve the guide vector estimation.This algorithm first constructed the interference subspace.Then,it introduces the adaptive Gauss Legendre integral to compute the interference subspace,obtaining the in-terference correlation matrix.Afterwards,it performed the eigen-decomposition of the interference correlation matrix to acquire the projection matrix,and projected the received signal onto the projection matrix to get the re-constructed interference plus noise covariance matrix.Finally,it corrected for the guiding vector mismatch.The simulation results showed that the beamformer designed by this algorithm had a better ability to cope with the mismatch of guiding vectors and the perturbation of array elements.
万方数据
维普
