改进的基于子空间跟踪的盲多用户检测算法

针对OPAST算法中由于迭代运算产生的累积误差易造成算法发散的问题,提出一种改进的子空间盲多用户检测算法。该方法在每次迭代过程中引入对偶Gram-Schmidt正交化来降低累积误差,从而保证算法具有更好的稳定性。仿真结果表明,所提算法在保持较低计算复杂度的前提下,具有收敛速度快、跟踪和稳态效果好的特点。

Improved blind multiuser detection algorithm based on subspace tracking

An improved blind multiuser detection algorithm based on subspace tracking is proposed to combat the divergence of the OPAST algorithm caused by numerical rounding errors.The proposed method introduces an efficient partial orthogonalization method,pairwise Gram-Schmidt orthogonalization,to mitigate this unsatisfied effect.Simulation results demonstrate that this proposed scheme can keep lower computational complexity,with faster convergence rates,better tracking ability and steady-state performance.