Accelerate Demodulation of Quadrature Amplitude Modulation Using GPU

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Quadrature amplitude modulation (QAM) is widely used in communication systems. The traditional QAM demodulation method was implemented in hardware. This paper proposes a demodulation algorithm using GPU. The GPU algorithm is easier to add new features than hardware implementation and reaches 57x speed up compared with the serial algorithm on CPU. It is shown that the QAM demodulation algorithm gained significant performance increase due to the natural parallism of the GPU, using Compute Unified Device Architecture (CUDA).

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907-911

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Dillinger, K. Madani and N. Alonistioti, Software Defined Radio: Architectures, Systems and Functions, Wiley&Sons, 2003.

Google Scholar

[2] NVIDIA CUDA C Programming Guide, Version 3.2, NVIDIA, (2010)

Google Scholar

[3] T. Nylanden, J. Janhunen, O. Silven and M. Juntti, A GPU Implementation for two MIMO–OFDM Detectors, International Conference on Embedded Computer Systems (SAMOS), 2010, pp.293-300

DOI: 10.1109/icsamos.2010.5642054

Google Scholar

[4] S. Anwar and W. Sung, Digital Signal Processing Filtering with GPU, The Institute of Electronics Engineers of Korea, July (2009)

Google Scholar

[5] X. Wang and B. Shi, GPU Implemention of Fast Gabor Filters, Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS), p.373 – 376, (2010)

DOI: 10.1109/iscas.2010.5537757

Google Scholar

[6] J. Kim, S. Hyeon and S. Choi, Implementation of an SDR System Using Graphics Processing Unit, IEEE Communications Magazine, Vol. 48, p.156 – 162, (2010)

DOI: 10.1109/mcom.2010.5434388

Google Scholar

[7] S. Lerkvaranyu K. Dejhan and Y. Miyanaga, M-QAM Demodulation in an OFDM System with RBF Neural Network, Midwest Symposium on Circuits and Systems, Vol. 2, pp.581-584, 2004.

DOI: 10.1109/mwscas.2004.1354225

Google Scholar

[8] H. Barger, Performance of 16-QAM Demodulation in the Rapid Multipath Environment, IEEE Conference Proceedings Military Communications Conference, Vol. 3, p.713 – 717, (1996)

DOI: 10.1109/milcom.1996.571336

Google Scholar

[9] Li Yanxin1, Hu Aiqun, An Adaptive Demodulation Method for QAM Signals, International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications , p.1064 – 1067, (2007)

DOI: 10.1109/mape.2007.4393452

Google Scholar

[10] J. Proakis and M. Salehi, Fundamentals of Communication systems, Pearson Education, (2005)

Google Scholar