低复杂度协方差矩阵重构鲁棒自适应波束形成算法  

Low-Complexity Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming

作　　者：张诚禹 马文峰 潘子豪 王聪 ZHANG Chengyu;MA Wenfeng;PAN Zihao;WANG Cong(College of Communications Engineering,Army Engineering University of PLA,Nanjing 210007,China;College of Field Engineering,Army Engineering University of PLA,Nanjing 210007,China)

机构地区：[1]陆军工程大学通信工程学院,江苏南京210007 [2]陆军工程大学野战工程学院,江苏南京210007

出　　处：《陆军工程大学学报》2025年第2期96-104,共9页Journal of Army Engineering University of PLA

摘　　要：基于干扰加噪声协方差矩阵(interference and noise covariance matrix, INCM)的重构算法是近年兴起的鲁棒自适应波束形成(robust adaptive beamforming, RAB)技术。针对目前大多数INCM算法只注重不同误差情况下的性能表现而忽视了算法的计算复杂度的问题,聚焦INCM算法鲁棒性和计算复杂度,在使用Capon算法得到干扰和期望信号(signal of interest, SOI)的名义导向矢量的基础上,使用鲁棒Capon波束形成(robust Capon beamforming, RCB)算法对名义导向矢量进行校正,得到干扰和SOI的实际导向矢量,提升了对导向矢量误差的抵抗能力。使用样本协方差矩阵(sample covariance matrix, SCM)的最大特征值估算所有干扰功率,有效地降低了算法的计算复杂度。基于上述两部分工作设计波束形成器,在保持低复杂度的同时拥有良好的抗误差能力。仿真结果表明,INCM算法对不同种类的误差均具有良好的抵抗能力,能够兼顾计算复杂度和性能。利用软件无线电(software-defined radio, SDR)设备搭建实物验证平台,进一步验证了所提方法优越的抗干扰性能。The reconstruction algorithm based on the interference and noise covariance matrix(INCM)is regarded as a burgeoning robust adaptive beamforming(RAB)technology in recent years.However,most of the INCM algorithms only focus on the performance under different error conditions but ignore the computational complexity of the algorithms.First,to address this issue,with a focus on the robustness and computational complexity of the INCM algorithms,based on the nominal steering vectors of interference and the signal of interest(SOI)obtained by the Capon algorithm,the robust Capon beamforming(RCB)algorithm is employed to correct the nominal steering vectors,thereby obtaining the actual steering vectors of interference and SOI and enhancing the resistance to steering vector errors.Moreover,the total interference power is estimated using the maximum eigenvalue of the sample covariance matrix(SCM),which effectively reduces the computational complexity of the algorithm.Through the aforementioned two parts,the designed beamformer maintains low complexity while possessing superior error resistance capabilities.The simulation results show that the proposed INCM algorithm has excellent resistance to different types of errors,taking into account both computational complexity and performance.Finally,a physical verification platform is established with software-defined radio(SDR)equipment,which further verifies the superior anti-jamming performance of the proposed method.

关 键 词：鲁棒自适应波束形成技术 干扰加噪声协方差矩阵重构 鲁棒Capon波束形成算法 

分 类 号：TN911.72[电子电信—通信与信息系统]