DocumentCode :
1116729
Title :
A Semi-Analytical Method for Predicting the Performance and Convergence Behavior of a Multiuser Turbo-Equalizer/Demapper
Author :
Ramon, Valéry ; Herzet, Cédric ; Vandendorpe, Luc
Author_Institution :
Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Louvain-la-Neuve
Volume :
55
Issue :
3
fYear :
2007
fDate :
3/1/2007 12:00:00 AM
Firstpage :
1104
Lastpage :
1117
Abstract :
This paper proposes a simple semi-analytical method with reduced simulation time for predicting at any iteration the performance of a turbo-equalization/demapping scheme using the Wang and Poor soft-in/soft-out (SISO) minimum mean-square error (MMSE)/interference cancellation (IC) equalizer and a SISO decoder. The proposed method may be applied to multilevel/phase data modulations as well as multiuser context. This paper shows that the equalizer behavior may be very reliably predicted totally by calculations (no simulations are needed) whereas that of the decoder still requires simulations. A comparison between the proposed prediction method and plain simulations of the overall turbo equalization scheme demonstrates that our method accurately determines the system performance at any iteration. Static channels, long frames, and perfect channel knowledge are assumed throughout the paper
Keywords :
data communication; decoding; equalisers; interference suppression; least mean squares methods; phase modulation; turbo codes; SISO decoder; interference cancellation equalizer; minimum mean-square error; multilevel data modulations; multiuser turbo-equalizer-demapper; phase data modulations; soft-in soft-out MMSE; Binary phase shift keying; Bit error rate; Convergence; Equalizers; Interference cancellation; Iterative decoding; Phase modulation; Prediction methods; Predictive models; System performance; Code-division multiple access (CDMA); minimum mean-square error (MMSE) filtering; multiuser detection; performance analysis; soft interference cancellation; turbo processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2006.887137
Filename :
4099571
Link To Document :
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