Channel shortening filter design based on polynomial methods.pdf (392.44 kB)
Channel shortening filter design based on polynomial methods
conference contribution
posted on 2010-02-05, 14:47 authored by Cenk Toker, Jonathon Chambers, Buyurman BaykalIntersymbol interference (HI) is a major cause
of performance degradation for both wireless and wireline
communication systems. It can he mitigated by several different
methods including equalization and multicarrier modulation, but
the complexity and efficiency of all methods would depend on
the length of the ISI channel. In this paper, we propose a
general framework for channel shortening where we considered
the channel as a rational transfer function (having infinite
impulse response (IIR)), and the source and the noise as autoregressive
moving average (ARMA) processes. The aim is to
shorten the channel using an IIR filter to a desirable length,
so that computationally efficient post processing techniques can
be applied to the resulting signal. The use of an IIR filter provides
more degrees of freedom for channel shortening as compared to
an FIR filter.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
TOKER, C., CHAMBERS, J.A. and BAYKAL, B., 2004. Channel shortening filter design based on polynomial methods. IN: Proceedings of 2004 59th IEEE Vehicular Technology Conference (VTC 2004), 17-19 May 2004, Milan, Italy, Vol. 1, pp. 565-569.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2004Notes
This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISBN
0780382552Language
- en