ROBUST BEAMFORMING ALGORITHM BASED ON CONVEX OPTIMIZATION MULTIPLIER METHOD

Zhen Wang, Sheng Gao, Zhichao Yu, Xiaopeng Yang*

*Corresponding author for this work

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

Abstract

The performance of adaptive beamforming will degrade dramatically in practical application due to angle estimation error in interference signal. Therefore, a robust adaptive beamforming method based on convex optimization multiplier is proposed in this paper. In the proposed method, the DOA information of the interfering signal is firstly calculated using MUSIC algorithm. Then the spatial smoothing algorithm is used to de-correlate. In the following, the cost function is constructed by the Lagrange multiplier method. Finally, a set of optimal weight vectors can be obtained through iteration. Simulation results show that the proposed method can effectively reduce the effect of angle estimation error in interference signal.

Original languageEnglish
Title of host publicationIET Conference Proceedings
PublisherInstitution of Engineering and Technology
Pages709-713
Number of pages5
Volume2020
Edition9
ISBN (Electronic)9781839535406
DOIs
Publication statusPublished - 2020
Event5th IET International Radar Conference, IET IRC 2020 - Virtual, Online
Duration: 4 Nov 20206 Nov 2020

Conference

Conference5th IET International Radar Conference, IET IRC 2020
CityVirtual, Online
Period4/11/206/11/20

Keywords

  • ADAPTIVE BEAMFORMING
  • DIRECTION-OF-ARRIVAL ESTIMATION
  • ROBUSTNESS

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