The Journal of China Universities of Posts and Telecommunications ›› 2023, Vol. 30 ›› Issue (2): 1-7.doi: 10.19682/j.cnki.1005-8885.2022.0024

• Wireless •     Next Articles

Mainlobe interference suppression and beam pattern optimization methods

Du Xiaojuan,Tian Bin   

  1. 1.
    2. 西安电子科技大学
  • Received:2022-03-07 Revised:2022-06-21 Online:2023-04-30 Published:2023-04-27
  • Contact: Bin Tian E-mail:btian@xidian.edu.cn

Abstract:

When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power, the traditional eigen-projection interference suppression method has the problems of severe beam deformation and peak shift. Aiming at these problems, a beam pattern optimization method (BPOM) was proposed, which can suppress the interference well even when the mainlobe interference power is approximately equal to the sidelobe interference power. In the method, the mainlobe interference eigenvectors are firstly determined according to the correlation criterion. Then through the eigenvalue comparison, the sidelobe interference eigenvectors whose eigenvalues are approximately equal to the mainlobe interference eigenvalues are judged. After that, a projection matrix is constructed to filter out the mainlobe and sidelobe interference. Finally, the covariance matrix is reconstructed and the weight vector for beamforming is obtained. Simulation shows that BPOM has a better output performance than the existing algorithms in case that the power of the mainlobe interference is close to that of the sidelobe interference.

Key words: mainlobe interference | eigen-projection| adaptive beamforming (ABF)