ScholarLens Back to search
2005•Ha'erbin gongye daxue xuebaoRequires access

An approach of robust adaptive beamforming

Chen Si-gen

Open publisher page 0 citations

Abstract

Based on the principle of linearly constrained minimum variance(LCMV) adaptive beamforming,in terms of the Bayesian estimation theory,an adaptive beamforming by using Bayesian posterior probability weighted sum was proposed.This beam former was developed to improve robustness to pointing error,and to overcome the shortcoming of sensitivity to pointing error of LCMV beamforming.The results of simulation indicated that the performance of this proposed beamforming method was steady and robust to the pointing error.

About this research paper

What this paper is about

Based on the principle of linearly constrained minimum variance(LCMV) adaptive beamforming,in terms of the Bayesian estimation theory,an adaptive beamforming by using Bayesian posterior probability weighted sum was proposed.This beam former was developed to improve robustness to pointing error,and to overcome the shortcoming of sensitivity to pointing error of LCMV beamforming.The results of simulation indicated that the performance of this proposed beamforming method was steady and robust to the pointing error.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Based on the principle of linearly constrained minimum variance(LCMV) adaptive beamforming,in terms of the Bayesian estimation theory,an adaptive beamforming by using Bayesian posterior probability weighted sum was proposed.This beam former was developed to improve robustness to pointing error,and to overcome the shortcoming of sensitivity to pointing error of LCMV beamforming.The results of simulation indicated that the performance of this proposed beamforming method was steady and robust to the pointing error.

Key concepts: Beamforming, Adaptive beamformer, Robustness (evolution), Minimum-variance unbiased estimator, Bayesian probability, Computer science, Sensitivity (control systems), Algorithm

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
An approach of robust adaptive beamforming — Research Paper | ScholarLens