Updator-shared Adaptive Parallel Equalization (u-shape) Using Set-membership Identification

SET-MEMBERSHIP IDENTIFICATION Sridhar Gollamudi and Yih-Fang Huang Laboratory for Image and Signal Analysis Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556 USA e-mail: [email protected] ABSTRACT Earlier research has shown that the use of set-membership identi cation (SMI) in adaptive equalization of multipath fading channels results in bit error rate performance comparable to that obtained using the recursive least squares (RLS) algorithm while not requiring to update the equalizer parameters at every instant of time. The discerning update strategy of the SMI methodology is exploited in this paper to develop a scheme, referred to here as U-SHAPE, which shares the processors that update equalizer tap coefcients, resulting in a signi cant reduction in the hardware requirements of a multiaccess channel equalizer.