Channel equalization using wavelet denoising

Abstract EN

A problem in digital signal transmission occurs when a signal in one signal interval overlaps the signal in an adjacent interval.

This problem is called intersymbol interference and limits the speed of digital transmission.

Interference and noise are common in communication channels, and the recovery of transmitted signals may be a difficult task.

The adaptive equalizer which is used to recover the transmitted signals and LMS algorithm which is one of the most efficient criteria for determining the values of the adaptive equalizer coefficients are very important in communication systems, but the LMS adaptive equalizer suffers response degrades and slow convergence rate under low Signal-to-Noise ratio (SNR) condition.

The present work is concerned with the development and application of wavelet transform based denoising technique for improving the response and convergence rate of LMS adaptive equalizer in digital communication systems under low SNR.