DocumentCode
3427421
Title
16-QAM turbo equalization based on minimum mean squared error linear equalization
Author
Vogelbruch, Fabian ; Zukunft, Roland ; Haar, Sven
Author_Institution
Inst. for Integrated Circuits, Munich Univ. of Technol., Germany
Volume
2
fYear
2002
fDate
3-6 Nov. 2002
Firstpage
1943
Abstract
The turbo equalization principle, based on Berrou´s (1993) turbo principle, is a high performance receiver scheme to mitigate intersymbol interference (ISI) caused by a frequency selective channel. Several turbo equalization (TEQ) schemes, like Douillard´s (1995) MAP/MLSE TEQ, Laot´s (1997) TEQ scheme by means of soft ISI cancellation and turbo equalization based on MMSE linear equalization have been presented different in performance and computational complexity. One of these schemes, turbo equalization based on MMSE linear equalization achieves nearly MAP/MLSE performance, while reducing the computational complexity tremendously. We extend this receiver scheme to 16-QAM and present simulation results for different ISI channels.
Keywords
computational complexity; equalisers; filtering theory; interference suppression; intersymbol interference; least mean squares methods; maximum likelihood sequence estimation; quadrature amplitude modulation; radio receivers; telecommunication channels; turbo codes; 16-QAM turbo equalization; ISI channels; MAP/MLSE TEQ; MMSE linear equalization; MMSE linear filtering; computational complexity reduction; frequency selective channel; high performance receiver; intersymbol interference; minimum mean squared error linear equalization; simulation results; soft ISI cancellation; turbo equalization; Computational complexity; Computational modeling; Convolutional codes; Equalizers; Finite impulse response filter; Frequency; Interference; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7576-9
Type
conf
DOI
10.1109/ACSSC.2002.1197119
Filename
1197119
Link To Document