基于变换的线性约束斜投影波束形成算法  

Transformation-based linearly constrained oblique projection beamforming algorithm

作　　者：汤辰 徐亮[1] 毕传兴[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2014年第1期14-18,68,共6页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(51105126;11274087;51322505);安徽省自然科学基金资助项目(11040606Q35);合肥工业大学青年创新基金资助项目(2013HGQC0029)

摘　　要：基于变换的广义特征空间波束形成器在低快拍数、低信噪比和相干信源条件下波束形成性能下降,为解决这一问题,文章提出基于变换的线性约束斜投影波束形成(T-LCOBPB)算法,该算法用变换矩阵对接收信号进行变换后,将线性约束最小方差算法的静态权向量向信号子空间作斜投影得到自适应权向量,从而实现自适应波束形成。数值仿真表明,T-LCOBPB算法在高、低信噪比都具有较好的波束形成性能,且在低快拍数和相干信源情况下仍具有较好的波束形成性能,是一种性能优越且鲁棒的波束形成方法。The transformation-based generalized eigenspace-based beamformer has worse performance under the conditions of small snapshot number, low SNR and coherent sources. In this paper, the transformation-based linearly constrained oblique projection beamforming（T-LCOBPB） algorithm is proposed to overcome these problems. After transforming the array input data vector with the trans- formation matrix, the weight vector of the T-LCOBPB algorithm is generated by obliquely projecting the fixed weight vector of the linearly constrained minimum variance algorithm onto the signal sub- space, thus achieving adaptive beamforming. The simulation results reveal that the T-LCOBPB algo- rithm has better beamforming performance both in high and low SNR, and it also has better perform- ance in small snapshot number and coherent sources. The T-LCOBPB algorithm has robust character- istic and good performance.

关 键 词：自适应波束形成 线性约束 斜投影 相干干扰 

分 类 号：TN911.23[电子电信—通信与信息系统]