鲁棒最小输出能量多用户检测算法

Robust minimum output energy multiuser detection algorithm

为了提高传统最小输出能量(Minimum output energy,MOE)盲多用户检测算法的性能,通过对期望用户扩频码向量的偏差进行分析,提出了鲁棒MOE多用户检测算法。该算法通过将权向量投影到信号子空间,采用了正交投影近似子空间跟踪(Orthogonal projection approximation subspace tracking,OPAST)算法实现信号子空间的自适应跟踪,从而抑制了扩频码向量偏差的影响,并且降低了算法的复杂度。理论分析和仿真实验表明,所提算法对扩频码向量的偏差具有较强的鲁棒性,改善了系统的输出信干噪比。

In order to improve the performance of the traditional minimum output energy(MOE)blind multiuser detection algorithm,this paper analyzes the mismatch of spreading code vector of desired users and proposes a novel robust MOE multiuser detection algorithm.The proposed algorithm reduces the influence of the spreading code vector mismatch by projecting the weight vector into the signal subspace.The orthogonal projection approximation subspace tracking(OPAST)algorithm is adopted for adaptive signal subspace estimation to reduce the computational complexity.Theoretical analysis and simulation results demonstrate that the proposed algorithm provides excellent robustness against the spreading code vector mismatch,and improves the performance of the output signal-to-interference-plus-noise-ratio(SINR).