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| 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 |
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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.
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Received: 10 November 2004
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2006, Vol. 28 
