Beamforming algorithm of diagonal loading based on matrix decomposition

In the beamforming algorithm of the matrix decomposition, through QR decomposition of data matrix, the QR decomposition algorithm transforms the problem of solving the weighted vector into the problem of solving a triangular linear equations, which avoids to estimating and inversing of array signal covariance matrix, improves the robustness of the data; But when the smaller sample number, the noise eigenvalue dispersion of the sample covariance matrix leads to the degradation of the beamforming algorithm performance and QR algorithm performance will be decreased. According to this shortcoming, the SVD algorithm of the diagonal loading is proposed in this paper, the simulation results showed that DL-SVD algorithm not only improve the performance of the algorithm but also reduce complexity.