Adaptive Beamforming Based on Eigen-Oblique Projection for Mainlobe Interference Suppression

Sheng Gao, Chengeng Zhang, Xiaopeng Yang, Junqi Xue

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

The mainlobe interferences would severely deteriorate the performance of traditional adaptive beamforming. The existing mainlobe interference suppression method based on eigen-projection preprocessing can solve the beam distortion problem well, but it has a loss of the expected signal and a large amount of computation. To solve this problem, a based on eigen-oblique projection and covariance matrix reconstruction method is proposed. The eigen-oblique projection matrix can filter out the mainlobe interference and reduce the loss of the expected signal. The reconstructed covariance matrix can keep the beam shape and reduce the computational complexity. The simulation results demonstrate the validity of the proposed method in avoiding the main beam distortion and improving the output SINR with fast convergence.

Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123455
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China
Duration: 11 Dec 201913 Dec 2019

Publication series

NameICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/TerritoryChina
CityChongqing
Period11/12/1913/12/19

Keywords

  • adaptive beamforming
  • eigen-oblique projection
  • mainlobe suppression interference

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