Abstract
A study of multichannel adaptive lattice algorithms as applied to the equalization of nonlinear channels is presented. A single-input-multiple-output system is proposed to be used in the equalization model. This system extends the nonlinear channel output as a vector. Since the single-input-multiple-output system gives an output which has a second-order nonlinearity, the nonlinear channel can be taken as in the form of a second-order Volterra filter. The performance of the algorithm is examined and it is shown that in a few iterations, the equalizer estimates the channel input correctly.< >
Keywords
Nonlinear system
Channel (broadcasting)
Lattice phase equaliser
Computer science
Algorithm
Lattice (music)
Equalizer
Equalization (audio)
Adaptive filter
Blind equalization
Filter (signal processing)
Adaptive equalizer
Control theory (sociology)
Telecommunications
Artificial intelligence
Acoustics
Physics
Subject Areas
Advanced Adaptive Filtering Techniques
·Computational Mechanics ·Physical Sciences
Blind Source Separation Techniques
·Signal Processing ·Physical Sciences
Speech and Audio Processing
·Signal Processing ·Physical Sciences
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