Dimension-Reduced Blind Space-Time Channel Estimation and Signal Detection for MC-CDMA System
MC-CDMA系统降维盲空时信道估计及信号检测

Dimension-reduced blind space-time channel estimation and signal detection algorithm for MultiCarrier CDMA (MC-CDMA) system in frequency selective Rayleigh fading channel are presented. A decorrelating filter is applied to the receiving data vectors. The dimension-reduced signal of each user without Multiuser Access Interference (MAI) is got. Blind channel estimation can be performed by the rank-one approximation of whitened dimension-reduced data matrix. Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched. Simulation results show the effectiveness of the proposed algorithms.