Updator-shared adaptive parallel equalization (U-SHAPE) using set-membership identification

Earlier research has shown that the use of set-membership identification (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 coefficients, resulting in a significant reduction in the hardware requirements of a multiaccess channel equalizer.