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2013 (Vol. 6, Issue: 15)
Article Information:

A Modified Nonparametric Message Passing Algorithm for Soft Iterative Channel Estimation

Linlin Duan, Zhongyong Wang, Xiangchuan Gao and Wei Wang
Corresponding Author:  Linlin Duan 

Key words:  Channel estimation, Markov Chain Monte Carlo (MCMC), max-sum rule, message passing algorithm, , ,
Vol. 6 , (15): 2764-2772
Submitted Accepted Published
December 28, 2012 January 19, 2013 August 20, 2013
Abstract:

Based on the factor graph framework, we derived a Modified Nonparametric Message Passing Algorithm (MNMPA) for soft iterative channel estimation in a Low Density Parity-Check (LDPC) coded Bit-Interleaved Coded Modulation (BICM) system. The algorithm combines ideas from Particle Filtering (PF) with popular factor graph techniques. A Markov Chain Monte Carlo (MCMC) move step is added after typical sequential Important Sampling (SIS) -resampling to prevent particle impoverishment and to improve channel estimation precision. To reduce complexity, a new max-sum rule for updating particle based messages is reformulated and two proper update schedules are designed. Simulation results illustrate the effectiveness of MNMPA and its comparison with other sum-product algorithms in a Gaussian or non-Gaussian noise environment. We also studied the effect of the particle number, pilot symbol spacing and different schedules on BER performance.
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  Cite this Reference:
Linlin Duan, Zhongyong Wang, Xiangchuan Gao and Wei Wang, 2013. A Modified Nonparametric Message Passing Algorithm for Soft Iterative Channel Estimation.  Research Journal of Applied Sciences, Engineering and Technology, 6(15): 2764-2772.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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