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http://dx.doi.org/10.5515/KJKIEES.2010.21.9.995

SNR Estimation Based on Correlation of Decision Feedback Signal in OFDM System  

Kim, Seon-Ae (Department of Electronic Engineering, Chungbuk National University)
Ryu, Heung-Gyoon (Department of Electronic Engineering, Chungbuk National University)
Lee, Seung-Jun (Communication R/D Center, LIG Nex1 Co.)
Ko, Dong-Kuk (Communication R/D Center, LIG Nex1 Co.)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.21, no.9, 2010 , pp. 995-1004 More about this Journal
Abstract
In the channel-varying environment, it is very important to estimate the signal to noise ratio(SNR) of received signal and to transmit the signal effectively for the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary APSK or QAM. In this paper, we propose a SNR estimation method which uses zero point auto-correlation of received signal per block and auto-/cross- correlation of decision feedback signal in OFDM system. Proposed method can be studied into two Types; Type 1 can estimate SNR by zero point auto-correlation of decision feedback signal based on the second moment property. Type 2 uses both zero point auto-correlation and cross-correlation based on the fourth moment property. In block-by-block reception of OFDM system, these two SNR estimation methods can be possible for the practical implementation due to correlation based the estimation method and they show more stable estimation performance than the previous SNR estimation methods. Also, we mathematically derive the SNR estimation expression according to computational difference of auto-/cross-correlation. Finally, Monte Carlo simulations are used to verify the proposed method.
Keywords
SNR Estimation; OFDM; QAM; Correlation-Based Estimation;
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1 Feng Rice, Bill Cowley, Bill Moran, and Mark Rice, "Cramer-rao lower bounds for QAM phase and frequency estimation", IEEE Trans. on Comm, vol. 49, no. 9, pp. 1582-1591, Sep. 2001.   DOI
2 A. Stephenne, F. Bellili, and S. Affes, "Momentbased SNR estimation over linearly-modulated wireless SIMO channels", Wireless Communications, IEEE Transactions on, vol. 9, no. 2, pp. 714-722, Feb. 2010.   DOI
3 W. Therrien, Discrete Random Signals and Statistical Signal Processing, Prentice-Hall, 1992.
4 H. Hayes, Statistical Digital Signal Processing and Modeling John Wiley, 1996.
5 S. Haykin, Adaptive Filter Theory, Prentice-Hall, N.J., 1986.
6 H. Van Trees, Detection, Estimation, and Modulation Theory, vol. 1, New York,; Wiley, 1968.
7 R. van Nee, R. Prasad. OFDM for Wireless Multimedia Communications, Norwood, MA: Artech House, 2000.
8 G. Albertazzi, S. Cioni, G. Corazza, M. Neri, R. Pedone, P. Salmi, A. Vanelli-Coralli, and M. Villanti, "On the adaptive DVB-S2 physical layer: Design and performance", IEEE Wireless Commun. Mag., vol. 12, no. 6, pp. 62-68, Dec. 2005.   DOI
9 David R. Pauluzzi, Norman C. Beaulieu, "Comparison of four SNR estimators for QPSK modulations", IEEE Communication Letters, vol. 4, no. 2, pp. 43-45, Feb. 2000.   DOI
10 D. R. Pauluzzi, N. C. Beaulieu, "A comparison of SNR estimation techniques for the AWGN channel", IEEE Trans. on Comm., vol. 48, no. 10, pp. 1680-1691, Oct. 2000.   DOI
11 R. Matzner, F. Engleberger, "An SNR estimation algorithm using fourth-order moments", Proc. IEEE Int. Symp. Information Theory, Trondheim, Norway, p. 119, Jun. 1994.
12 N. Kamel, V. Jeoti, "A llinear prediction based estimation of signal-to-noise ratio in AWGN channel", ETRI Journal, vol 29, no. 5, pp. 607-613, Oct. 2007.   DOI
13 R. Lopez-Valcarce, C. Mosquera, "Sixth-order statistics-based nondata-aided SNR estimation", IEEE Commun. Lett., vol. 11, no. 4, pp. 351-353, Apr. 2007.   DOI
14 W. Gappmair, R. Lopez-Valcarce, and C. Mosquera, "Cramer-Rao lower bound and EM algorithm for envelope-based SNR estimation of nonconstant modulus constellations", IEEE Trans. Commun., vol. 57, no. 6, pp. 1622-1627, Jun. 2009.   DOI
15 M. Alvarez-Diaz, R. Lopez-Valcarce, and C. Mosquera, "SNR estimation for multilevel constellations using higher-order moments", IEEE Transactions on Signal Processing, vol. 58, no. 3, part 2, pp. 1515-1526, Mar. 2010.   DOI