信号处理2025，Vol.41Issue(4)：595-608,14.DOI:10.12466/xhcl.2025.04.002
基于共轭梯度加速的自适应二次约束零陷展宽方法研究
Adaptive Quadratic Constraint Null Broadening Method Accelerated by Conjugate Gradient
摘要
Abstract
Applications such as radar,sonar,and wireless communications have heightened demands for improved anti-jamming capabilities and real-time performance in adaptive beamforming.Traditional adaptive beamforming algorithms that rely on the steepest descent method often exhibit an"overfitting"characteristic,which hinders their ability to effec-tively suppress interference.Furthermore,these algorithms struggle to manage interference when it involves perturba-tions and mismatches in the steering vector.To tackle these challenges,this paper proposes a quadratic constraint-wide nulling interference suppression method for adaptive beamforming,accelerated by the conjugate gradient(CG)algo-rithm.The proposed method first utilizes the rapid convergence properties of the CG algorithm to solve the linear equa-tions relating the sample covariance matrix to the steering vector.The weight vector generated by the CG algorithm serves as the initial weight for the steepest descent beamforming method,leveraging the"overfitting"characteristic to ensure robust locking onto the desired signal.Additionally,we propose a direction of arrival(DOA)estimation method to enhance interference feature extraction,enabling the estimation of interference arrival directions in the presence of wideband coherent interference.This method works in conjunction with the quadratic constraint null broadening tech-nique to capture and adaptively nullify interference characteristics.Simulation experiments confirm that the proposed al-gorithm efficiently adapts to suppress interference under both single snapshot and wideband coherent interference condi-tions while demonstrating strong robustness.关键词
单快拍/宽带相干信号/自适应波束形成/零陷展宽Key words
single snapshot/broadband coherent signal/adaptive beamforming/null broadening分类
信息技术与安全科学引用本文复制引用
高志奇,张恩赏,黄平平..基于共轭梯度加速的自适应二次约束零陷展宽方法研究[J].信号处理,2025,41(4):595-608,14.基金项目
国家自然科学基金(61761037) （61761037）
内蒙古自治区自然科学基金项目(2021MS06005) （2021MS06005）
内蒙古自治区直属高校基本科研业务费项目(JY20220147)The National Natural Science Foundation of China(61761037) （JY20220147）
The Natural Science Foundation of Inner Mongolia(2021MS06005) （2021MS06005）
Basic Scientific Research Business Cost Project of Colleges directly under the Inner Mongolia(JY20220147) （JY20220147）
