Abstract
This paper addresses the problem of acquiring the sampling frequency offset (SFO) and carrier frequency offset (CFO), which severely degrade the performance of orthogonal frequency division multiplexing (OFDM) system. Using two identical frequency domain (FD) long training symbols in preamble, we propose a novel maximum-likelihood (ML) estimation method to simultaneously acquire the values of SFO and CFO, which extend the Kim’s and Wang’s estimation methods. The main contribution of this paper is that the first-order Legendre series expansion is used to obtain the SFO and CFO values in closed-form. For obtaining the performance of the proposed estimation scheme, we built the OFDM system model according to IEEE 802.11a. The results show that the proposed scheme achieves the best performance to the existing schemes.
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References
IEEE: Supplement to IEEE standard for information technology - telecommunications and information exchange between systems - local and metropolitan area networks - specific requirements. part 11: Wireless lan medium access control (MAC) and physical layer (PHY) specifications: High-speed physical layer in the 5 GHz band. IEEE Std 802.11a (1999)
IEEE: IEEE standard for local and metropolitan area networks part 16: Air interface for fixed broadband wireless access systems draft amendment: Management information base extensions. IEEE Unapproved Draft Std P802.16i/D5 (2007)
IEEE: Etsi, digital video broadcasting (DVD): frame structure, channel coding and modulation for digital terrestrial television (DVD-T). ETSI EN 300 744 (2004)
IEEE: Digital radio mondiale (DRM): System specification. ETSI ES 201 980 v3.1.1 (2009)
Wu, H.-C.: Analysis and characterization of intercarrier and interblock interferences for wireless mobile OFDM systems. IEEE Trans. Broadcast. 52(2), 203–210 (2006)
Ai, B., Yang, Z.-X., Pan, C.-Y., Ge, J.H., Wang, Y., Lu, Z.: On the synchronization techniques for wireless OFDM systems. IEEE Trans. Broadcast. 52(2), 236–244 (2006)
Wang, Y.-Y.: A subspace-based CFO estimation algorithm for general ICI self-cancellation precoded OFDM systems. IEEE Trans. Wirel. Commun. 12(8), 4110–4117 (2013)
Zhang, W., Yin, Q.: Blind maximum likelihood carrier frequency offset estimation for OFDM with multi-antenna receiver. IEEE Trans. Sig. Proces. 61(9), 2295–2307 (2013)
Gul, M.M.U., Lee, S., Ma, X.: Carrier frequency offset estimation for OFDMA uplink using null sub-carriers. Digit. Sig. Proces. 29, 127–137 (2014)
Gault, S., Hachem, W., Ciblat, P.: Joint sampling clock offset and channel estimation for OFDM signals: Crame acute;r-Rao bound and algorithms. IEEE Trans. Sig. Proces. 54(5), 1875–1885 (2006)
You, Y.-H., Kim, S.-T., Lee, K.-T., Song, H.-K.: An improved sampling frequency offset estimator for OFDM-based digital radio mondiale systems. IEEE Trans. Broadcast. 54(2), 283–286 (2008)
Morelli, M., Imbarlina, G., Moretti, M.: Estimation of residual carrier and sampling frequency offsets in OFDM-SDMA uplink transmissions. IEEE Trans. Wirel. Commun. 9(2), 734–744 (2010)
Oberli, C.: ML-based tracking algorithms for MIMO-OFDM. IEEE Trans. Wirel. Commun. 6(7), 2630–2639 (2007)
Speth, M., Fechtel, S., Fock, G., Meyr, H.: Optimum receiver design for OFDM-based broadband transmission.ii. a case study. IEEE Trans. Commun. 49(4), 571–578 (2001)
Freda, M.M., Weng, J., Le-Ngoc, T.: Joint channel estimation and synchronization for OFDM systems. In: 2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall, vol. 3, pp. 1673–1677 (2004)
Nguyen-Le, H., Le-Ngoc, T., Ko, C.-C.: RLS-based joint estimation and tracking of channel response, sampling, and carrier frequency offsets for OFDM. IEEE Trans. Broadcast. 55(1), 84–94 (2009)
Kim, Y.-H., Lee, J.-H.: Joint maximum likelihood estimation of carrier and sampling frequency offsets for OFDM systems. IEEE Trans. Broadcast. 57(2), 277–283 (2011)
Nguyen-Le, H., Le-Ngoc, T., Ko, C.-C.: Joint channel estimation and synchronization for MIMO OFDM in the presence of carrier and sampling frequency offsets. IEEE Trans. Veh. Technol. 58(6), 3075–3081 (2009)
Wang, X., Hu, B.: A low-complexity ML estimator for carrier and sampling frequency offsets in OFDM systems. IEEE Commun. Lett. 18(3), 503–506 (2014)
Acknowledgments
This work is supported by National Science Foundation of China (Grant No. 61170083, 61373032) and Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20114307110001).
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Liu, C., Yuan, L., Xing, Z., Tang, X., Fu, G. (2016). A ML-Based High-Accuracy Estimation of Sampling and Carrier Frequency Offsets for OFDM Systems. In: Xu, W., Xiao, L., Li, J., Zhang, C. (eds) Computer Engineering and Technology. NCCET 2015. Communications in Computer and Information Science, vol 592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49283-3_9
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DOI: https://doi.org/10.1007/978-3-662-49283-3_9
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