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| The Blind Equalization Based on subspace method with fast convergence |
| Luo Laiyuan; Xiao Xianci |
| College of Electronic Engineering UEST of China Chengdu 610054 China |
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Abstract A large of number sample data is needed by the blind channel equalization based on HOS (High Order Statistics). The performance of equalization was found to be poor in fast change environment or with short data samples. The blind equalization using second order statistics has drawn considerable attention recently. The performance with fast convergence makes it useful in the mobile communications or short-wave communications. The algorithm for subspace method based on the blind channel identification/equalization using Kalman filter equation is presented, which needs a few data. Simulation results show that the algorithm is effective.
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Received: 30 November 2001
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2003, Vol. 25 
