Improved Gram-Schmidt orthogonalization beam-forming algorithm based on data preprocessing

Xiao Peng Yang, Xiao Na Hu*, Yong Xu Liu, Pi Lei Yin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

When the desired signal is mixed in the training data, the conventional Gram-Schmidt orthogonalization beam-forming algorithm will result in the desired signal cancellation. In this paper, an improved Gram-Schmidt orthogonalization beam-forming algorithm based on data preprocessing was proposed to resolve the desired signal cancellation. In the proposed algorithm, the training data are firstly preprocessed to remove the desired signal by the designed block matrix, then the corresponding covariance matrix was estimated, and the interference subspace was reconstructed by Gram-Schmidt orthogonalization of the columns of the covariance matrix. Finally, the adaptive weight vector was obtained by orthogonally projecting the quiescent weight vector into the interference subspace. Moreover, the orthogonalization adaptive threshold of the covariance matrix was re-designed for accurate interference subspace estimation. Simulation results show that the output signal to interference plus noise ratio (SINR) of the proposed algorithm is improved above 2 dB comparing with the current Gram-Schmidt orthogonalization methods.

Original languageEnglish
Pages (from-to)310-315
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume34
Issue number3
Publication statusPublished - Mar 2014

Keywords

  • Adaptive digital beam-forming
  • Data preprocessing
  • Gram-Schmidt orthogonalization
  • Orthogonalization threshold

Fingerprint

Dive into the research topics of 'Improved Gram-Schmidt orthogonalization beam-forming algorithm based on data preprocessing'. Together they form a unique fingerprint.

Cite this

Yang, X. P., Hu, X. N., Liu, Y. X., & Yin, P. L. (2014). Improved Gram-Schmidt orthogonalization beam-forming algorithm based on data preprocessing. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 34(3), 310-315.