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Adaptive H channel equalization for wireless personal communications

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1 Author(s)
Weihua Zhuang ; Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada

In this paper, a new adaptive H filtering algorithm is developed to recursively update the tap-coefficient vector of a decision feedback equalizer (DFE) in order to adaptively equalize the time-variant dispersive fading channel of a high-rate indoor wireless personal communication system. Different from conventional L 2 (such as the recursive least squares (RLS)) filtering algorithms which minimize the squared equalization error, the adaptive H filtering algorithm is a worst case optimization. It minimizes the effect of the worst disturbances (including input noise and modeling error) on the equalization error. Hence, the DFE with the adaptive H filtering algorithm is more robust to the disturbances than that with the RLS algorithm. Computer simulation demonstrates that better transmission performance can be achieved using the adaptive H algorithm when the received signal-to-noise ratio (SNR) is larger than 20 dB

Published in:

IEEE Transactions on Vehicular Technology  (Volume:48 ,  Issue: 1 )