基于SP-LCCMA的STBC MC-CDMA系统盲信道估计

Blind Cannel Estimation for STBC MC-CDMA Systems Based on SP-LCCMA

研究了空时编码多载波码分多址系统(STBC MC-CDMA)盲信道估计技术。根据信道位于信号子空间的特点,提出基于信号子空间投影线性约束恒模算法(SP-LCCMA)的盲信道估计,避免了噪声子空间信道估计的缺点,将估计信道应用于STBC MC-CDMA系统多用户检测。仿真结果表明,提出算法的收敛速度和信干噪比(SINR)性能优于一般恒模算法。

The paper studies blind channel estimation technique for space-time block codes multi-carrier code division multiple access （STBC MC-CDMA）. We present a blind channel estimation algorithm based on subspace projected linear constraint constant modulus algorithm （SP-LCCMA） for the reason that the channel must belong to signal subspace, which can avoid the shortcoming of subspace based channel estimation. We apply the algorithm to STBC MC-CDMA multi-user detection. Simulation indicates that the proposed algorithm has faster convergence rate and better SINR performance than those of the traditional CMA.