FPGA Implementation of Generalized Maximal Ratio Combining Receiver Diversity
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FPGA Implementation of Generalized Maximal Ratio Combining Receiver Diversity

Authors: Rafic Ayoubi, Jean-Pierre Dubois, Rania Minkara


In this paper, we study FPGA implementation of a novel supra-optimal receiver diversity combining technique, generalized maximal ratio combining (GMRC), for wireless transmission over fading channels in SIMO systems. Prior published results using ML-detected GMRC diversity signal driven by BPSK showed superior bit error rate performance to the widely used MRC combining scheme in an imperfect channel estimation (ICE) environment. Under perfect channel estimation conditions, the performance of GMRC and MRC were identical. The main drawback of the GMRC study was that it was theoretical, thus successful FPGA implementation of it using pipeline techniques is needed as a wireless communication test-bed for practical real-life situations. Simulation results showed that the hardware implementation was efficient both in terms of speed and area. Since diversity combining is especially effective in small femto- and picocells, internet-associated wireless peripheral systems are to benefit most from GMRC. As a result, many spinoff applications can be made to the hardware of IP-based 4th generation networks.

Keywords: Femto-internet cells, field-programmable gate array, generalized maximal-ratio combining, Lyapunov fractal dimension, pipelining technique, wireless SIMO channels.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077341

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[1] J. Daba, J. Dubois, R. Minkara, "Generalized Maximal Ratio Combining as a Supra-optimal Receiver Diversity Scheme," ICCESSE 2010 - International Conference on Computer, Electrical, and Systems Science, and Engineering, Paris, France, July 2010.
[2] S. Brown and J. Rose, "Architecture of FPGAs and CPLDs: Tutorial," IEEE Design & Test of Comp., vol. 13(2), pp. 42-57, 96.
[3] http://www.fpga-faq.org/FPGA_Boards.shtml
[4] L. Bylanger, "Combining DSPs and FPGAs in Next-Generation Multimode Wireless Handset Designs," DSP-FPGA.com Magazine, May, 2007.
[5] J. Daba and M. Bell, "Statistics of the Scattering Cross Section of a Small Number of Random Scatterers," IEEE Trans. on Antennas and Propagation, August 1995.
[6] J. S. Daba and M. R. Bell, "Statistical Distributions of Partially Developed Speckle Based on a Small Number of Constant Scatterers with Random Phase," IEEE International Geoscience and Remote Sensing Symposium, California Institute of Technology, Pasadena, CA, USA, August 8-12, 1994.
[7] A. Abdi, S. Nader-Esfahani, J. Daba and M. R. Bell, "Comments on Statistics of the Scattering Cross Section of a Small Number of Random Scatterers," IEEE Transactions on Antennas and Propagation, vol. 48, no. 5, pp. 844-845, May 2000.
[8] J. Dubois and P. Jreije, "Advanced Stochastic Models for Partially Developed Speckle," 5th International Conference on Computer, Electrical, and Systems Science, and Engineering (CESSE 2008), organized by the World Congress on Science, Engineering, and Technology, Vienna, Austria, August 2008.
[9] J. Dubois, "Poisson Modulated Stochastic Model for Partially Developed Multi-Look Speckle," American Conference on Applied Mathematics, Harvard University, Cambridge, MA, USA, March 2008.
[10] J. Dubois, "Scattering Statistics of Doppler Faded Acoustic Signals Using Speckle Noise Models," IEEE International Conference on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, Lviv, Ukraine, Sept. 2003.
[11] J. Daba and M R. Bell, "Statistics of the Scattering Cross Section of a Collection of Constant Amplitude Scatterers with Random Phase," West Lafayette, IN, Purdue University, School of Electrical Engineering Technical Report, TR-EE 94-25, July 1994.
[12] J. Daba and P. Jreije, "Probability Distributions for Multiplicative Noise in Internet Associated Wireless Cells and in Speckled Images," Conference on Applied Mathematical Problems, Ukrainian Mathematical Congress, Kiev, Ukraine, August, 2009.
[13] R. Ayoubi, J. Dubois and O. Abdul-latif, "FPGA Implementation of a Novel Receiver Diversity Combining Technique," IEEE International Conference on Signal Processing and Communications, Dubai, Nov. 2007.
[14] O. Abdul-Latif and J. Dubois, "LS-SVM Detector for RMSGC Diversity in SIMO Channels," IEEE International Conference on Information Sciences, Signal Processing and its Applications, Dubai, Feb. 2007.
[15] J. Dubois and O. Abdul-Latif, "Novel Diversity Combining in OFDMBased MIMO Systems," American Conference on Applied Mathematics, Harvard, Cambridge, MA, USA, 2008.
[16] O. Abdul-Latif and J. Dubois, "Performance of UWB System in a Partially Developed Fading Channel with CCI," 5th IEEE GCC Communication and Signal Processing Conference, Kuwait, March 2009.
[17] J. P. Dubois, "Recent Advances in Wireless MIMO Sytems with Improved Receiver Diversity Combiners," in Annual Review of Communications: Volume 60, A. Sulluchuco, Editor, International Engineering Consortium (IEC), Chicago, USA, ISBN: 978-1-931695- 59-6, pp. 513 - 527, 2007.
[18] J. Daba and P. Jreije, "A Novel Receiver Diversity Combining Technique for Internet-Based 4G Wireless Communication", The 9th International Conference on Signal Processing, Robotic and Automation (ISPRA'10), University of Cambridge, Cambridge, United Kingdom, February, 2010.
[19] M. J. Gans, "The effect of Gaussian error in maximal ratio combiners," IEEE Transactions on Communication Technology, Vol. COM-19, pp. 492-500, Aug. 1971.
[20] Y. Zhu and E. Gunawan, "Performance of MC-CDMA system using controlled MRC with power control in Rayleigh fading channel," Electronic Letters, Vol. 36, No. 8, pp. 752-753, April 2000.