Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (4): 669-673.

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Robust adaptive beamforming algorithm based on subspace projection method and its performance analysis

 LIU Xiao-Jun, LIU Cong-Feng, LIAO Gui-Sheng   

  1. (National Lab of Radar Signal Processing, Xidian Univ., Xi’an 710071, China)
  • Online:2010-04-23 Published:2010-01-03

Abstract:

      The projection method-based beamformer is known to provide an improved robustness against more general types of steering vector mismatches and is more simple than other methods in the implementation. When the signal-plus-interference subspace is obtained exactly, this algorithm is equivalent to the eigen-subspace-based beamformer. Since this approach is applicable for the scenario with the higher signal-to-noise ratio and the lower dimension of the signal-plus-interference subspace.  Additionally, the dimension must be known in the latter processing.  A robust method is proposed to estimate the subspace and its dimension, therefore, its  application condition can be met. The impact of the subspace selection on its performance under the ideal condition is analyzed particularly, and the simulation attests its correctness and effectiveness.

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