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access icon free Joint statistical framework for the estimation of channel and SFO in OFDM systems

© The Institution of Engineering and Technology
Received 25/10/2016, Accepted 08/04/2017, Revised 15/02/2017, Published 18/04/2017

Joint estimation of channel and sampling frequency offset (SFO) in orthogonal frequency division multiplexing (OFDM) systems, using Bayesian framework, is shown in this study. Hybrid Cramér–Rao lower bounds (HCRLBs) for the estimation of SFO together with channel are obtained. The significance of Bayesian approach in the formulation of joint estimator is shown by comparing HCRLB with the corresponding standard CRLB. The authors propose a joint maximum a posteriori (JMAP) algorithm for the estimation of channel and SFO in OFDM, utilising the prior statistical knowledge of channel. To reduce the complexity of JMAP estimator, a modified MAP algorithm, which has no grid searches, is also proposed. Also, they analyse the effect of inaccurate knowledge of channel statistics and signal-to-noise ratio on the estimation accuracy. The estimation methods are analysed by numerical simulations and resultant conclusions validate the better performance of the proposed algorithms when compared with previous algorithms.

Inspec keywords: numerical analysis; Bayes methods; sampling methods; OFDM modulation; communication complexity; maximum likelihood estimation; channel estimation

Other keywords: channel statistics; signal-to-noise ratio; OFDM systems; numerical simulations; JMAP estimator complexity reduction; channel estimation; joint maximum a posteriori algorithm; hybrid Cramer-Rao lower bounds; joint statistical framework; HCRLB; orthogonal frequency division multiplexing systems; sampling frequency offset estimation; SFO estimation; Bayesian framework; modified MAP algorithm; estimation accuracy

Subjects: Modulation and coding methods; Communication channel equalisation and identification; Other numerical methods; Other topics in statistics

References

    1. 1)
      • 2. Kim, Y.-H., Lee, J.-H.: ‘Joint maximum likelihood estimation of carrier and sampling frequency offsets for OFDM systems’, IEEE Trans. Broadcast., 2011, 57, (2), pp. 277–283.
    2. 2)
      • 12. Trees, H.L.V., Bell, K.L., Tian, Z.: ‘Detection, estimation, and modulation theory: part I’ (Wiley, New York, 2013).
    3. 3)
      • 10. Morelli, M., Mengali, U.: ‘A comparison of pilot-aided channel estimation methods for OFDM systems’, IEEE Trans. Signal Process., 2001, 49, (12), pp. 3065–3073.
    4. 4)
      • 9. Kay, S.M.: ‘Fundamentals of statistical signal processing: estimation theory’ (Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1993).
    5. 5)
      • 6. Morelli, M., Moretti, M.: ‘Fine carrier and sampling frequency synchronization in OFDM systems’, IEEE Trans. Wirel. Commun., 2010, 9, (4), pp. 1514–1524.
    6. 6)
      • 4. Jose, R., Hari, K.V.S.: ‘Maximum likelihood algorithms for joint estimation of synchronization impairments and channel in MIMO-OFDM system’, IET Commun., 2013, 7, (15), pp. 1567–1579.
    7. 7)
      • 7. 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., 2009, 58, (1), pp. 3075–3081.
    8. 8)
      • 14. Tse, D., Viswanath, P.: ‘Fundamentals of wireless communication’ (Cambridge University Press, Inc., New York, USA, 2005).
    9. 9)
      • 8. Aleksandar, D., Jinghua, J.: ‘Estimating statistical properties of MIMO fading channels’, IEEE Trans. Signal Process., 2015, 53, (8), pp. 3065–3080.
    10. 10)
      • 15. Sayed, A.H.: ‘Adaptive filters’ (John Wiley and Sons, Inc., NJ, USA, 2008).
    11. 11)
      • 5. Gault, S., Hachem, W., Ciblat, P.: ‘Joint sampling clock offset and channel estimation for OFDM signals: Cramer–Rao bound and algorithms’, IEEE Trans. Signal Process., 2006, 54, (5), pp. 1875–1885.
    12. 12)
      • 3. Jose, R., Hari, K.V.S.: ‘Joint estimation of synchronization impairments in MIMO-OFDM system’. 2012 National Conf. on Communications (NCC), India, February 2012, pp. 1–5.
    13. 13)
      • 1. Speth, M., Fechtel, S.A., Fock, G., et al: ‘Optimum receiver design for wireless broad-band systems using OFDM 1’, IEEE Trans. Commun., 1999, 47, (11), pp. 1668–1677.
    14. 14)
      • 13. Jose, R., Hari, K.V.S.: ‘Bayesian approach for joint estimation of phase noise and channel in OFDM systems’, IET Signal Process., 2014, 2, (8), pp. 10–20.
    15. 15)
      • 11. Lin, D.D., Pacheco, R.A., Lim, T.J., et al: ‘Joint estimation of channel response, frequency offset, and phase noise in OFDM’, IEEE Trans. Signal Process., 2006, 54, (9), pp. 3542–3554.
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