A Comparison of Ungerboeck and Forney Models for Reduced-Complexity ISI Equalization
Author
Summary, in English
This paper investigates the performance of reduced-state
trellis-based intersymbol interference equalizers, which are based
on the so-called Ungerboeck and Forney observation models.
Although the two models are equivalent when an optimum equalizer
is employed, their performances differ significantly when using
reduced-complexity methods. It is demonstrated that practical
equalizers operating on the Forney model outperform those
operating on the Ungerboeck model for high signal-to-noise ratios
(SNRs), while the situation is reversed for low SNR levels. A
novel reduced-complexity equalization strategy that improves on
previous Ungerboeck-based equalizers is proposed.
trellis-based intersymbol interference equalizers, which are based
on the so-called Ungerboeck and Forney observation models.
Although the two models are equivalent when an optimum equalizer
is employed, their performances differ significantly when using
reduced-complexity methods. It is demonstrated that practical
equalizers operating on the Forney model outperform those
operating on the Ungerboeck model for high signal-to-noise ratios
(SNRs), while the situation is reversed for low SNR levels. A
novel reduced-complexity equalization strategy that improves on
previous Ungerboeck-based equalizers is proposed.
Publishing year
2007
Language
English
Pages
1431-1436
Publication/Series
IEEE Global Telecommunications Conference, 2007. GLOBECOM '07.
Full text
- Available as PDF - 169 kB
- Download statistics
Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
IEEE Global communications conference (Globecom), 2007
Conference date
2007-11-26 - 2007-11-30
Conference place
Washington D.C., United States
Status
Published
ISBN/ISSN/Other
- ISSN: 1930-529X
- ISBN: 978-1-4244-1043-9