多用户检测中并行干扰加权消除的研究

The Research on Parellel Interference Weighted Cancellation in Multiuser Detection

所有的干扰消除法在干扰被错误的估计时,性能会大大下降.针对干扰消除的这一不足提出了并行干扰加权消除PIWC的方法来改善性能.该方法的计算复杂度随用户数呈线性增长,比并行干扰消除PIC略高一些,具有很高的实用价值.本文在高斯近似的基础上研究了判决加权和模糊加权.仿真结果表明并行干扰加权消除PIWC优于并行干扰消除PIC,模糊加权优于判决加权.

This paper presents an idea of parellel interference weighted caceller in order to miti-gate degrade effects of unreliable interference estimation.The computation complexity of this scheme is linear with the increase of users 'number and only a little more than PIC's.So,PIWC has great value of practicability.Based on gaussian approximation,the determinate weighting and fuzzy weighting have been studied.Simulation results confirm that PIWC is better than PIC,fuzzy weight-ing is better than the determinate weighting.