Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction

Xiaopeng Yang, Zongao Zhang, Tao Zeng, Teng Long, Tapan K. Sarkar

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

A mainlobe interference suppression method is proposed based on eigen-projection processing and covariance matrix reconstruction. In the proposed method, the eigen-projection matrix is calculated based on the eigenvector of mainlobe interference to suppress the mainlobe interference in received echo data. The interference covariance matrix is reconstructed after the eigenvalue of mainlobe interference is replaced by the average value of noise eigenvalues to eliminate the effect of mainlobe interference to adaptive weight vector. Finally, the output of adaptive beamforming is calculated by processed echo data and adaptive weight vector obtained based on reconstructed covariance matrix. Simulation results show that the proposed method can suppress the mainlobe interference effectively and achieve excellent performance.

Original languageEnglish (US)
Article number6860313
Pages (from-to)1369-1372
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume13
DOIs
StatePublished - 2014

Keywords

  • Adaptive beamforming
  • covariance matrix reconstruction
  • eigen-projection processing
  • mainlobe interference

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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