|
|
|
| Two-dimensional Adaptive Beamforming Based on Correlation Matrix |
| He Jie Feng Da-zheng Lü Hui Xiang Cong |
| National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China |
|
|
|
|
Abstract Considering the issue that two-dimensional beamforming usually takes a great deal of sampling data and has very high computation complexity by using Minimum Variance Distortionless Response (MVDR) beamformer, a Two-Dimensional Adaptive Beamforming (TDAB) algorithm based on correlation matrix is proposed. High-dimensional weight vector is written as the Kronecker product of two low-dimensional weight vectors. By utilizing a bi-iterative algorithm, two low-dimensional weight vectors can be solved on the basis of correlation matrix, which decrease the computational complexity and the number of training samples for correlation matrix estimates．Simulations results demonstrate that TDAB can converge very well and achieve better performance of interference suppression in the presence of short data records.
|
|
Received: 24 November 2009
|
|
|
|
Corresponding Authors:
He Jie
E-mail: cathyhejie@163.com
|
|
|
|
|
|
|
2010, Vol. 32 
