Dimension-Reduced Blind Space-Time Channel Estimation
and Signal Detection for MC-CDMA System
Hu Bing①②; Li Ping-an③; Yu Bian-zhang①
①School of Electronic Information , Northwestern Polytechnical University, Xi’an 710072, China; ②System & Standard Dpt., Datang Mobile Telecommunications Equipment Co., Ltd, Beijing 100083, China; ③School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Abstract 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.
Hu Bing,Li Ping-an,Yu Bian-zhang. Dimension-Reduced Blind Space-Time Channel Estimation
and Signal Detection for MC-CDMA System[J]. , 2006, 28(8): 1391-1394 .
2006, Vol. 28 
