Low-Complexity MAP-Based Successive Data Detection for Coded OFDM Systems Over Highly Mobile Wireless Channels

This paper is concerned with the challenging and timely problem of data detection for coded orthogonal frequency-division multiplexing (OFDM) systems in the presence of frequency-selective and very rapidly time varying channels. New low-complexity maximum a posteriori probability (MAP) data detectio...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 60; no. 6; pp. 2849 - 2857
Main Authors: Panayirci, E., Dogan, H., Poor, H. V.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.07.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
Channels
Complexity
Complexity theory
Computer simulation
Detection, estimation, filtering, equalization, prediction
Equalizers
Equipments and installations
Exact sciences and technology
Fast time-varying channels
Frequency domain analysis
Gibbs sampling
Information, signal and communications theory
intercarrier interference (ICI)
Markov analysis
Markov chain
Mathematical analysis
maximum a posteriori probability (MAP) detection
Mobile communication
Mobile radiocommunication systems
Monte Carlo methods
Monte Carlo technique
Multiplexing
OFDM
Optimization
Order disorder
Orthogonal Frequency Division Multiplexing
orthogonal frequency-division multiplexing (OFDM)
Radiocommunications
Receivers
Signal and communications theory
Signal processing algorithms
Signal, noise
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Performance evaluation
Parameter estimation
Current source converter
Bit error rate
Wireless telecommunication
Frequency selector
Markov chain
MCMC algorithm
Frequency selection
Monte Carlo technique
Channel estimation
A posteriori estimation
intercarrier interference (ICI)
Ordering
Mobile radiocommunication
Band structure
maximum a posteriori probability (MAP) detection
Time variable channel
Computer simulation
Frequency domain method
Fast time-varying channels
Gibbs sampling
Computational complexity
Sequential detection
Posterior probability
Telecommunication channels
Orthogonal frequency division multiplexing
Numerical simulation
orthogonal frequency-division multiplexing (OFDM)
ISSN:0018-9545, 1939-9359
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper is concerned with the challenging and timely problem of data detection for coded orthogonal frequency-division multiplexing (OFDM) systems in the presence of frequency-selective and very rapidly time varying channels. New low-complexity maximum a posteriori probability (MAP) data detection algorithms are proposed based on sequential detection with optimal ordering (SDOO) and sequential detection with successive cancellation (SDSC). The received signal vector is optimally decomposed into reduced dimensional subobservations by exploiting the banded structure of the frequency-domain channel matrix whose bandwidth is a parameter to be adjusted according to the speed of the mobile terminal. The data symbols are then detected by the proposed algorithms in a computationally efficient way by means of the Markov chain Monte Carlo (MCMC) technique with Gibbs sampling. The impact of the imperfect channel state information (CSI) on the bit error rate (BER) performance of these algorithms is investigated analytically and by computer simulations. A detailed computational complexity investigation and simulation results indicate that, particularly, the algorithm based on SDSC has significant performance and complexity advantages and is very robust against channel estimation errors compared with existing suboptimal detection and equalization algorithms proposed earlier in the literature.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2011.2158564