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Markov Chain Monte Carlo Algorithms and Its Application in MIMO Detection

Author: WangWuJuan
Tutor: ChenQingChun
School: Southwest Jiaotong University
Course: Communication and Information System
Keywords: MIMO technology Markov chain - Monte Carlo algorithm Completeness empty block codes Iterative Detection
CLC: TN919.3
Type: Master's thesis
Year: 2011
Downloads: 105
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Abstract


With the rapid development of multimedia services and high-speed transmission services increasing , makes wireless communication systems with limited spectrum resources become more valuable as a without increasing system bandwidth conditions significantly increase the system capacity of key technologies , multiple input multiple output (MIMO) technology and its empty detection algorithm is the the high spectral study of the use of technology focus . In recent years, with a low detection complexity Markov chain - Monte Carlo (MCMC) algorithm applied to the the MIMO detection research . Learning Markov chain - Monte Carlo algorithm basic idea and principle on the basis of analysis of the detection algorithm based on Markov chain - Monte Carlo algorithm Gaussian channel models and MIMO channel model principle and performance . The research results show that the the MCMC detection algorithm can be better than the performance of decision feedback (MMSE-DFE) algorithm based on the sort of minimum mean square error , and transmitting antenna must when its computational complexity only associated with the number of iterations . The study is not yet mature , around complete the space-time block codes decoding as an excellent detection performance of space-time coding scheme . Papers on the equivalent mathematical transformation of the basis of its received symbols model to study the MCMC algorithm based complete empty block codes detection algorithm . The results show that the the MCMC algorithm outperforms Fano tree search algorithm , and the complexity will not be significantly with the increase in the number of modulation order increases . The paper analyzes the coding technology and channel coding joint detection technology based MCMC algorithm MIMO empty . Research -based MCMC algorithm , channel coding and space-time coding joint iterative detection process , the paper analysis showed that , based on the the MCMC detection algorithm in the convergence of iterative detection when a high signal-to-noise ratio , the main reason lies in the signal-to-noise ratio large transition probability becomes relatively small , resulting MCMC stay in one state for a long time before transfer to another state . The paper presents a method to increase the number of samples in the area of high signal-to-noise ratio in order to improve the convergence of iterative detection algorithm in high SNR region . The thesis results showed that the sampling frequency, can be increased at high SNR with the expense of a certain complexity degree , effectively improve the performance of iterative detection .

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