Paper
28 October 1994 Nonlinear adaptive filters for time variant equalization
Colin F. N. Cowan
Author Affiliations +
Abstract
Adaptive equalization is a well established procedure used in data communications systems to compensate for channel distortions and thus allow higher signalling rates. Such systems are made adaptive because the channel characteristics are both a-priori unknown and, usually, time variant. In many systems this time variation is slow and, therefore, does not cause a problem for the adaptive processes employed. However, in the case of certain application areas, such as mobile terminals, the rate of time variation can be significant in relation to the signalling rate. Under these circumstances the performance of normal adaptive equalizers degrades rapidly. This paper presents a new adaptive equalizer structure of a non-linear form which makes use of both time and instantaneous amplitude information to provide a structure which is matched to this particular problem. Simulation results are presented which demonstrate the superiority of this structure relative to normal linear equalizers.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colin F. N. Cowan "Nonlinear adaptive filters for time variant equalization", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190841
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KEYWORDS
Nonlinear filtering

Digital filtering

Data communications

Linear filtering

Finite impulse response filters

Modeling

Stochastic processes

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