Transputer based adaptive signal processing
Authors: Soragham, John J., Gan, Woon S., Goh, Kwong H., Stewart, Robert W., Durrani, Tariq S.
Transputer based adaptive signal processing systems are considered. Efficient use of data communication networks requires adaptive equaliser structures that are efficient and have fast mean square error (MSE) convergence rates. The transputer based non-canonical least mean square (NCLMS) algorithm is implemented using a variant of the standard finite impulse response (FIR) filter,called the non-canonical FIR (NCFIR). Simulation results are given which show areduced excess mean square error level and an improved performance in an impulsive noise environment for the NCLMS over the conventional least mean square (LMS) algorithm. Simulation results comparing the LMS and NCLMS are presented.The equaliser structure based on the Kalman Filter has convergence rates that are independent of the channel's characteristics. A transputer based Kalman Equaliser and fast Kalman Equaliser are described. Speed-up curves for a variety of topologies for both systems are included.
Proceedings of WoTUG-15: Transputer Systems - ongoing Research, Alastair R. Allen, 1992, pp 77 - 96 published by IOS Press, Amsterdam
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