Paper Info
Title
Turbo-Equalization For Multilevel Modulation: An Efficient Low-Complexity Scheme
Abstract
This paper addresses the problem of iterative equalization and decoding (turbo-equalization) when bit-interleaved multilevel modulations are considered. The goal is to propose an efficient low-complexity solution in this context, where optimal turboequalization is totally untractable. Therefore, we generalize reduced-complexity soft-in/soft-out (SISO) equalizers based on the minimum mean square error (MMSE) criterion (originally proposed in a BPSK context) to this particular scheme. Performances are illustrated through simulations. We show the influence of the mapping on the signal-to-noise ratio (SNR) threshold and on asymptotic performances, and link the obtained results to iterative demodulation and decoding on an additive white gaussian noise (AWGN) channel.
Year
DOI
Venue
2002
10.1109/ICC.2002.997171
2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS
Keywords
Field
DocType
data transmission,additive white gaussian noise,turbo codes,minimum mean square error,awgn,demodulation,gaussian noise,signal to noise ratio
Equalization (audio),Control theory,Computer science,Turbo code,Signal-to-noise ratio,Minimum mean square error,Algorithm,Real-time computing,Decoding methods,Gaussian noise,Additive white Gaussian noise,Phase-shift keying
Conference
Citations 
PageRank 
References 
69
3.68
3
Authors
2
Name
Order
Citations
PageRank
Antoine Dejonghe130930.25
Luc Vandendorpe21611160.74