阵元位置互质的线性阵列:阵列校正和波束形成  

Linear Coprime Sensor Location Arrays: Array Calibration and Beamforming

作　　者：梁梦薇 何劲 舒汀[1] 郁文贤[1] LIANG Mengwei;HE Jin;SHU Ting;YU Wenxian(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《电子与信息学报》2024年第1期240-248,共9页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61771302)。

摘　　要：该文研究了阵元位置互质的线性阵列(CLA)的阵列校正和波束形成问题。在假设CLA天线单元部分校准的条件下,基于同时干扰定位与阵列校正(SILAC)技术,设计了一种适用于CLA的阵列校正和波束形成方法:CLA-SILAC-INCM算法。从理论上分析证明了,当CLA中包含有L_c≥3个完全校准的天线单元,使用SILAC技术可以高精度无模糊地实现干扰源角度和阵列天线幅相误差估计,并在此基础上完成干扰噪声协方差矩阵(INCM)重建和波束形成最优权向量构造。通过仿真实验验证了,提出的CLA-SILAC-INCM算法具有比其他常用算法更好的性能,尤其是信噪比接近干噪比时,CLA-SILAC-INCM算法的优势更为明显。Focusing on investigating the problems of array calibration and beamforming for Coprime Location Arrays(CLA),a new beamforming algorithm,which is called CLA-SILAC-INCM algorithm is proposed for the partly calibrated CLAs,by exploiting the Simultaneous Interference Localization and Array Calibration(SILAC)technique.Theoretical analysis shows that when the CLA contains not less than 3 fully calibrated antenna elements,highly accurate and unambiguous estimation for interference direction and array gain-phase error vector can be obtained using the SILAC technique.Afterward,the Interference plus Noise Covariance Matrix(INCM)is reconstructed and the optimal beamforming weighting vector is computed.Simulation results show that the proposed CLA-SILAC-INCM algorithm exhibits better performance compared with existing algorithms,especially when the signal-to-noise ratio is close to interference-to-noise ratio.

关 键 词：稀疏阵列 自适应波束形成 阵列校正 

分 类 号：TN911[电子电信—通信与信息系统]