J4 ›› 2011, Vol. 38 ›› Issue (6): 108-112+129.doi: 10.3969/j.issn.1001-2400.2011.06.017

• Original Articles • Previous Articles     Next Articles

Robust adaptive beamforming algorithm based on the eigenvector constraint for short-range clutter suppression

LIU Tao1;LU Changjie1;LIAO Hui2;MA Hongguang1
  

  1. (1. The Second Artillery Eng. Colleague, Xi'an  710025, China;
    2. Nanjing Research Inst. of Electronics Tech., Nanjing  210013, China)
  • Received:2010-09-08 Online:2011-12-20 Published:2011-11-29
  • Contact: LIU Tao E-mail:liutao_8203@126.com

Abstract:

For the cancellation of the severe range dependent short-range clutter in the case of range ambiguity of non-side-looking arrays (NSL), an elevation filtering algorithm is proposed. Based on the eigendecomposition of the covariance matrix, an eigenvector selecting method is developed. Using this method, eigenvectors corresponding to short-range and long-range are selected as constraints for the adaptive beamformer. It is shown that the eigenvector constrained (EVC) beamforming algorithm demonstrates the advantages of low sensitivity to steering angle error or steering vector mismatch and great robust main-lobe protecting ability over conventional algorithms. Computer simulation results are presented that illustrate the effectiveness of the proposed algorithm.

Key words: non-side-looking array, short-range clutter suppression, adaptive beamforming, eigenvector constraint

CLC Number: 

  • TN958.92