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A Fractional Lower Order Statistics-Based MIMO Detection Method in Impulse Noise for Power Line ChannelCHEN, Z. , GENG, X. , YIN, F.
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alpha stable distribution, fractional lower order statistics, impulse noise, MIMO, power line channel
communications(12), mimo(11), power(10), line(7), analysis(6), signal(5), performance(5), channel(5), theory(4), processing(4)
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About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 81 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04012
Web of Science Accession Number: 000348772500012
SCOPUS ID: 84921689238
Impulse noise in power line communication (PLC) channel seriously degrades the performance of Multiple-Input Multiple-Output (MIMO) system. To remedy this problem, a MIMO detection method based on fractional lower order statistics (FLOS) for PLC channel with impulse noise is proposed in this paper. The alpha stable distribution is used to model impulse noise, and FLOS is applied to construct the criteria of MIMO detection. Then the optimal detection solution is obtained by recursive least squares algorithm. Finally, the transmitted signals in PLC MIMO system are restored with the obtained detection matrix. The proposed method does not require channel estimation and has low computational complexity. The simulation results show that the proposed method has a better PLC MIMO detection performance than the existing ones under impulsive noise environment.
|References|||||Cited By «-- Click to see who has cited this paper|
| L. Stadelmeier, D. Schill, A. Schwager, D. Schneider, J. Speidel, "MIMO for inhome powerline communications," The 7th Int. ITG Conference on Source and Channel Coding, Ulm, Germany, 2008.|
 D. Schneider, J. Speidel, L. Stadelmeier, D. Schill, "Precoded spatial multiplexing MIMO for inhome power line communications," IEEE Global Telecommunications Conference, New Orleans, LA, USA, 2008.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 29]
 R. Hashmat, P. Pagani, T. Chonavel, "MIMO communications for inhome PLC networks: measurements and results up to 100MHz," IEEE Int. Symposium on Power Line Communications, Rio de Janeiro, Brazil, 2010.
[CrossRef] [SCOPUS Times Cited 80]
 L. Hao, J. Guo, "A MIMO-OFDM scheme over coupled multi-conductor power-line communication channel," IEEE Int. Symposium on Power Line Communications, Pisa, Italy, 2007, pp.198-203.
[CrossRef] [SCOPUS Times Cited 30]
 J. Yoo, S. Choe, "MIMO-OFDM based broadband power line communication using antenna and fading diversity," The Second Int. Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, Aachen, Germany, 2012, pp.42-46.
 J. Wang, B. Daneshrad, "A comparative study of MIMO detection algorithms for wideband spatial multiplexing systems," IEEE Wireless Communications and Networking Conference, New Orleans, Louisiana, USA, 2005, vol.1, pp.408-413.
 X. Zhu, R. D. Murch, "Performance analysis of maximum likelihood detection in a MIMO antenna system," IEEE Trans. on communications, vol.50, no.2, pp.187-191, 2002.
[CrossRef] [Web of Science Times Cited 195] [SCOPUS Times Cited 231]
 C. Siriteanu, X. Shi, Y. Miyanaga, "Analysis and simulation of MIMO zero-forcing detection performance for correlated and estimated Rician-fading channel," IEEE Communications Theory Workshop, Melbourne, Australian, 2011, pp.182-187.
[CrossRef] [SCOPUS Times Cited 6]
 N. Kim, Y. Lee, H. Park, "Performance analysis of MIMO system with linear MMSE receiver," IEEE Trans. on Wireless Communications, vol.7, no. 11, pp.4474-4478, 2008.
[CrossRef] [Web of Science Times Cited 85] [SCOPUS Times Cited 102]
 S. Shao, Y. Tang, T. Kong, K. Deng, Y. Shen, "Performance analysis of a modified V-BLAST system with delay offsets using zero-forcing detection," IEEE Trans. on Vehicular Technology, vol.56, no.2, pp.3827-3837, 2007.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 33]
 D. Wubben, R. Bohnke, V. Kuhn, K. D. Kammeyer, "MMSE extension of V-BLAST based on sorted QR decomposition," IEEE Vehicular Technology Conference, Orlando, FL, USA, 2003, vol.1, pp.508-512.
[CrossRef] [Web of Science Times Cited 38]
 B. Shim, I. Kang, "Sphere decoding with a probabilistic tree pruning," IEEE Trans. on Signal Processing, vol.56, no.10, pp.4867-4878, 2008.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 81]
 E. Viterbo, J. Boutros, "A universal lattice code decoder for fading channels," IEEE Trans. on Information Theory, vol.45, no.5, pp.1639-1642, 1999.
[CrossRef] [Web of Science Times Cited 956] [SCOPUS Times Cited 1176]
 H. Meng, S. Chen, Y. L. Guan, C. L. Law, P. L. So, et al, "Modeling of transfer characteristics for the broadband power line communication channel," IEEE Trans. on Power Delivery, vol.19, no.3, pp.1057-1064, 2004.
[CrossRef] [Web of Science Times Cited 153] [SCOPUS Times Cited 227]
 C. L. Nikias, M. Shao, Signal Processing with Alpha Stable Distribution and Applications. New York, UAS: John Wiley & Sons, Inc, 1995.
 A. A. Mustafa, D. Hakan, S. Bulent, A. Emin, "Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise," Signal Processing, vol.82, no.12, pp.1807-1827, 2002.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 16]
 X. Ma, C. L. Nikias, "Joint estimation of time delay and frequency delay in impulsive noise using fractional lower order statistics," IEEE Trans. on Signal Processing, vol.44, no.11, pp.2669-2687, 1996.
[CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 152]
 E. Salbaroli, A. Zanella, "Interference analysis in a Poisson field of nodes of finite area," IEEE Trans. on Vehicular Technology, vol.58, no.4, pp.1776-1783, 2009.
[CrossRef] [Web of Science Times Cited 60] [SCOPUS Times Cited 71]
 M. Zimmermann, K. Dostert, "A multipath model for power line channel," IEEE Trans. on Power Delivery, vol.50, no.4, pp.553-559, 2002.
 K. R. Borisagar, G. R. Kulkarni, "Simulation and comparative analysis of LMS and RLS algorithm using real time speech input signal," Global Journal of Researches in Engineering, vol.10, no.5, pp.44-47, 2010.
 S. Haykin, "Adaptive Filter Theory (Forth Edition)", pp.76-78, New Jersey, USA: Prentice Hall, 2003.
 C. Windpassinger, L. Lampe, R. F. H. Fischer, T. Hehn, "A performance study of MIMO detectors," IEEE Trans. on Wireless Communications, vol.5, no.8, pp.2004-2008, 2006.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 32]
 C. Alessio, B. Nevio, B. Paola, "Receivers for MIMO-PLC channels: throughput comparison," IEEE Int. Symposium on Power Line Communications and Its Applications, Udine, Italy, 2011, pp.114-119.
 T. J. Richardson, R. L. Urbanke, "Efficient encoding of low density parity check codes," IEEE Trans. on Information Theory, vol.47, no.2, pp.638-656, 2001.
[CrossRef] [Web of Science Times Cited 1678] [SCOPUS Times Cited 2026]
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