The Influence of Spatio-temporal Correlation Matrices Joint Block-diagonalization on the Spatial Spectral Resolution Performance
Wenquan Wu · Computing Technology and Automation · 2009
The Spatio-Temporal correlation matrices of array receiving data is joint block-diagonalized using the Jacobi algorithm to get the average eigenvalue and eigenvector.The average eigenvalue and eigenvector is used in the MVDR algorithm which is put forward by Capon to get the modified MVDR algorithm.Simulation example shows that the modified MVDR algorithm is better than the conventional MVDR algorithm.The performance of the modified MVDR algorithm is much better than MUSIC algorithm when the signal sources is partly partly correlated and especially when thers is under-estimation about the number of the signal sources,because the prior information about the number of the signal sources is not needed when using the modified MVDR algorithm.