DocumentCode :
154817
Title :
Non-Gaussian approximation iterative receiver for MIMO-OFDM vehicular networks
Author :
Shuangshuang Han ; Liuqing Yang ; Xiang Cheng ; Shichao Chen ; Fenghua Zhu ; Zhongdong Yu ; Haitao Xie
Author_Institution :
Qingdao Acad. of Intell. Ind., Qingdao, China
fYear :
2014
fDate :
8-11 Oct. 2014
Firstpage :
2156
Lastpage :
2161
Abstract :
Multiple-Input Multiple-Output - Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is adopted to vehicular networks to increase the capacity, reliability and speed. In this paper, iterative demodulation and decoding algorithms are studied to approach the capacity of MIMO-OFDM vehicular networks. By analysing the drawbacks of the Gaussian approximation on the interference cancellation, Non-Gaussian approximation is proposed to enhance the performance of interference cancellation based detectors with large constellations. Simulation results demonstrate that the proposed non-Gaussian algorithm can achieve a significant performance gain over existing ones with high order constellations.
Keywords :
Gaussian processes; MIMO communication; OFDM modulation; approximation theory; demodulation; interference suppression; iterative decoding; vehicular ad hoc networks; MIMO-OFDM vehicular network capacity; high order constellations; interference cancellation based detectors; iterative decoding algorithms; iterative demodulation; multiple-input multiple-output-orthogonal frequency division multiplexing; nonGaussian approximation iterative receiver; performance gain enhancement; Approximation algorithms; Approximation methods; Complexity theory; Decoding; Gaussian approximation; Iterative decoding; MIMO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ITSC.2014.6958022
Filename :
6958022
Link To Document :
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