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Volume 32 Issue 12
Jan.  2011
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He Jie, Feng Da-Zheng, Lv Hui , Xiang Cong. Two-dimensional Adaptive Beamforming Based on Correlation Matrix[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2890-2894. doi: 10.3724/SP.J.1146.2009.01500
Citation: He Jie, Feng Da-Zheng, Lv Hui , Xiang Cong. Two-dimensional Adaptive Beamforming Based on Correlation Matrix[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2890-2894. doi: 10.3724/SP.J.1146.2009.01500

Two-dimensional Adaptive Beamforming Based on Correlation Matrix

doi: 10.3724/SP.J.1146.2009.01500 cstr: 32379.14.SP.J.1146.2009.01500
  • Received Date: 2009-11-24
  • Rev Recd Date: 2010-07-20
  • Publish Date: 2010-12-19
  • 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.
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