摘要
提出了一种改进的特征空间算法,该方法通过对最小方差(MVDR)算法在接近预设导向矢量的方向施加另一个无畸变响应约束条件,避开了特定位置的指向误差的影响,再利用线性约束最小方差(LCMV)算法的权值求解公式求解权向量,最后将求得的权向量投影到信号子空间。计算机仿真证明,该算法具有很好的稳健性,可以在很大的指向误差范围内保持较好性能。
A modified eigenspace-based algorithm was presented.The algorithm first added another distortionless con-straint to the conventinal minimum variance(MVDR) beamformer in the direction different to but near the presumed di-rection to avoid the certain positions.Then the weight vector of the modified MVDR optimization was calculated utiliz-ing the linearly constrained minimum variance(LCMV) algorithm.Finally the obtained weight vector was projected onto the signal subspace.Several computer simulations demonstrated that the proposed algorithm provided much more robust capabilities and could perform well in a large scope of pointing errors.
出处
《通信学报》
EI
CSCD
北大核心
2010年第S1期32-36,共5页
Journal on Communications
关键词
阵列信号处理
波束形成
方向约束
特征空间
array signal processing
beamforming
direction constraint
eigenspace
