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Design and performance analysis of an adaptive FIR Kalman equalizer

โœ Scribed by M.M. Kumar; M.K. Yurtseven; A. Rahrooh

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
547 KB
Volume
330
Category
Article
ISSN
0016-0032

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โœฆ Synopsis

In this paper a discrete-time model of a communication channel is developed and the parameters of the channel are updated as operating conditions change. The Stochastic Newton Algorithm (SNA) is employed in the adaptation process, which is a stabilized version of the Extended Kalman Filter (EKF). The performances qf the SNA and EKF are compared through a number of computer simulation studies, in terms of their accuracy, speed and memory requirements. The SNA'k performance is superior, compared to the EKF, but the design procedure of the SNA is fairly complicated. The algorithm also requires somewhat d$icult tuning procedures, additional memory space and computation time.

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