Paper
4 May 2022 Minimum dispersion beamforming using modified conjugate gradient method
Jinyang Song, Wei Wang, Yan Chen
Author Affiliations +
Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 1217229 (2022) https://doi.org/10.1117/12.2634837
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China
Abstract
In order to solve linear constraint minimize dispersion problem in beamforming with non-Gaussian signals or noise, this paper proposed a real time adaptive beamforming technique based on modified conjugate gradient (MCG) method. Compared to conventional adaptive method, MCG have faster convergence rate than stochastic gradient (SG) method, and comparable convergence rate with recursive least square (RLS) method with lower complexity. And it simplifies the procedure of conjugate gradient method with one iteration per snapshots by using inexact line search scheme. Simulation has demonstrated the superior performance in output SINR and its convergence rate.
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Jinyang Song, Wei Wang, and Yan Chen "Minimum dispersion beamforming using modified conjugate gradient method", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 1217229 (4 May 2022); https://doi.org/10.1117/12.2634837
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KEYWORDS
Phased arrays

Interference (communication)

Sensors

Wireless communications

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