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http://dx.doi.org/10.5762/KAIS.2013.14.12.6478

Study on MMSE Interpolation Schemes Using Multiple Symbols  

Jo, Jun-Ho (Network Strategy BU, KT)
Choi, Seyeong (Dept. of Information & Communication Eng., Wonkwang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.12, 2013 , pp. 6478-6483 More about this Journal
Abstract
This paper presents the idea of interpolating between multiple sounding bursts to estimate the individual channels of a MIMO scenario. The performance of the proposed technique depends on the $f_dT$ product and the number of transmit and receive antennas. In particular, this technique can be effective if the $f_dT$ product is not too high and the number of antennas is not too large. Furthermore, there is a considerable difference in the performance of the 16 channels in the $4{\times}4$ MIMO case because the sounding bursts spread farther apart with time, meaning that the Doppler in the channel causes a greater error for the channels.
Keywords
Interpolation; MIMO; MMSE;
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1 A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, "Capacity limimts of mimo channels," IEEE J. Sel. Areas Commun., vol. 21, no. 5, pp. 684-702, Jun. 2003. DOI: http://dx.doi.org/10.1109/JSAC.2003.810294   DOI   ScienceOn
2 G. L. Stuber, Principles of Mobile Communication, 2nd ed. Norwell, MA: Kluwer Academic Publishers, 2001.
3 M. K. Simon and M.-S. Alouini, Digital Communication over Fading Channels, 2nd ed. New York, NY: John Wiley & Sons, 2005.
4 K. Rajawat and A. K. Chaturvedi, "Near Optimal Training Sequences for Low Complexity Symbol Timing Estimation in MIMO Systems," IEEE Trans. Commun, vol. 58, no. 1, pp. 281-288, Jan. 2010. DOI: http://dx.doi.org/10.1109/TCOMM.2010.01.080537   DOI   ScienceOn
5 S. B. Weinstein and P. M. Ebert, "Data transmission by frequency division multiplexing using the discrete fourier transform," IEEE Trans. Commun., vol. 19, pp. 628-634, Oct. 1971. DOI: http://dx.doi.org/10.1109/TCOM.1971.1090705   DOI   ScienceOn
6 D. Hu, L. Ynag, Y. Shi, and L. He, "Optimal Pilot Sequence Design for Channel Estimation in MIMO OFDM Systems," IEEE Trans. Commun. Lett, vol. 10, no. 1, pp. 1-3, Jan. 2006. DOI: http://dx.doi.org/10.1109/LCOMM.2006.1576550   DOI   ScienceOn
7 Y. Li, H. Minn, N. Al-Dhahir, and A. R. Calderbank, "Pilot Designs for Consistent Frequency-Offset Estimation in OFDM Systems," IEEE Trans. Commun, vol. 55, no. 5, pp. 864-877, May 2007. DOI: http://dx.doi.org/10.1109/TCOMM.2007.896105   DOI   ScienceOn
8 Hlaing Minn and Naofal Al-Dhahir, "Optimal Training Signals for MIMO OFDM Channel Estimation," IEEE Trans. Wireless Commun., vol. 5, no. 5, pp.1158-1168, May 2006. DOI: http://dx.doi.org/10.1109/TWC.2006.1633369   DOI   ScienceOn
9 W. Zhang, X.-G. Xia and P. C. Ching, "Optimal Training and Pilot Pattern Design for OFDM Systems in Rayleigh Fading," IEEE Trans. Broadcasting, vol. 52, no. 4, pp. 505-514, Dec. 2006. DOI: http://dx.doi.org/10.1109/TBC.2006.884001   DOI   ScienceOn
10 Yang-Seok Choi, Peter J. Voltz, and Frank A. Cassara, "On Channel Estimation and Detection for Multicarrier Signals in Fast and Selective Rayleigh," IEEE Trans. Commun., vol. 49, no. 8, pp. 1375-1387, Aug. 2001. DOI: http://dx.doi.org/10.1109/26.939860   DOI   ScienceOn
11 Yi Jiang, Varanasi, M.K, and Jian Li, "Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regime," IEEE Trans. Inf. Theory, vol. 57, no. 4, pp. 2008-2026, 2011. DOI: http://dx.doi.org/10.1109/TIT.2011.2112070   DOI   ScienceOn