Abstract
In this article, several typical SNR estimation algorithms are analyzed, and according to the characteristics of cable channel, an improved algorithm is put forward based on the channel differentia SNR estimation algorithm. Simulation results show that the improved algorithm has improved the estimation precision effectively, and this SNR estimation algorithm can be applied for OFDM systems of cable channel.
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Chow, P., Cioffi, J., Bingham, J.: A practical discrete multitone transceiver loading algorithm for data transmission over spectrally shaped channels. IEEE Trans. Commun. 43(234), 773–775 (1995)
Xu, X., Jing, Y., Yu, X.: Subspace-based noise variance and SNR estimation for OFDM systems. In: Proc. IEEE Wireless Commun. And Networking Conf., New Orleans, LA., vol. 1, pp. 23–26 (March 2005)
Boumard, S.: Novel noise variance and SNR estimation algorithm for wireless MIMO OFDM systems. In: Proc. IEEE Global Telecommunications Conf (Globecom), vol. 3, pp. 1330–1334 (2003)
Xu, H., Wei, G., Zhu, J.: A Novel SNR Estimation Algorithm for OFDM. IEEE, Los Alamitos (2005)
Arslan, H., Reddy, S.: Noise power and snr estimation for ofdm based wireless communication systems. In: IASTED International Conference on Wireless and Optical Communications, WOC (2003)
Yücek, T., Arslan, H.: MMSE noise power and snr estimation for ofdm systems. In: Proc. IEEE Sarnoff Symposium, Princeton, NJ (March 2006)
Yu, H., Yiling, W.: An adaptive modulation method based on SNR estimation (2009), http://bc-tech-ex.com/ (in Chinese)
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© 2011 Springer-Verlag Berlin Heidelberg
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Peng, Z., Guomei, S., Qiuyuan, H., Tie, L. (2011). Research and Improvement on SNR Estimation Algorithm in OFDM Used in Cable Channel. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_36
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DOI: https://doi.org/10.1007/978-3-642-23226-8_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
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