Robust adaptive beamforming using multi-snapshot direct data domain approach

Lilong Qin*, Manqing Wu, Zhen Dong

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)


For the realistic case where there is no secondary snapshot that does not contain the desired signal and exhibits the statistical characteristics similar to the snapshot under test, direct data domain (D3) beamforming approaches have been proposed to estimate a desired signal in the presence of interference. However, the basic idea of the D3 methods is realized by making significant sacrifices with respect to the number of degrees of freedom (DoFs). In this paper, we present a multi-snapshot approach for D3 beamforming. Using the least-squares method with multiple snapshots, we can eliminate the interference without causing a severe reduction in the number of DoFs. In addition, to consider a mismatch between nominal and actual target steering vectors, we propose a D3 approach combined with a probability constraint to prevent the self-nulling effect, and the relationship between the probability constraint and norm constraint is discovered. The simulations verify that the proposed method provides better performance and robustness than the conventional D3 approaches.

Original languageEnglish
Pages (from-to)124-129
Number of pages6
Publication statusPublished - 1 May 2017
MoE publication typeA1 Journal article-refereed


  • Array signal processing
  • Direct data domain
  • Norm-constrained beamforming
  • Probability-constrained beamforming
  • Robust adaptive beamforming

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