On using the whitening filters for measurements and noise suppression in mobile communications systems

Author

Mikushin, Alexander V. ; Sedinin, Alexei V.

Author_Institution

Siberian State Univ. of Telecommun. & Inf., Novosibirsk, Russia

fYear

2004

fDate

1-5 July 2004

Firstpage

103

Lastpage

105

Abstract

In this paper a model of error conditions in mobile communications systems is presented. This model is used subsequently for deriving the adaptive algorithm of signal receiving with measurements and suppression of different types of noise. In mobile communications systems there are three main types of noise, which greatly influence the general performance of these systems: frequency-selective (narrow-band) noise, time selective (impulse) noise and space-selective (structure-like) noise. A method of measurement and suppression of noise is based on digital whitening filtration. The results of the simulation of adaptive digital whitening filter are given. The adaptive algorithms of noise suppression presented in this paper allow to protect the mobile communications system from the fading, caused by the multipath propagation in urban conditions.

Keywords

adaptive filters; digital filters; filtering theory; impulse noise; interference suppression; mobile communication; noise measurement; adaptive algorithm; adaptive digital whitening filter; error condition model; frequency-selective noise; impulse noise; mobile communications system; multipath propagation; narrow band noise; noise suppression; space-selective noise; time selective noise; Adaptive filters; Digital filters; Filtering; Interference suppression; Mobile communication; Noise measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Electron Devices and Materials, 2004. Proceedings. 5th Annual. 2004 International Siberian Workshop on

Print_ISBN

5-7782-0463-9

Type

conf

DOI

10.1109/PESC.2004.241135

Filename

1358309