Channel and carrier frequency offset estimation based on projection onto a bidimensional basis

Channel and carrier frequency offset estimation based on projection onto a bidimensional basis

Two of the most counterproductive effects that must be dealt with in communication systems in realisticenvironments are carrier frequency offset (CFO) and time-varying channels. These problems are usually addressed byusing independent approaches for each one. This paper introduces an algorithm that attacks both of these effects in ajoint fashion. It is based on a rough compensation of CFO, and after considering that the remaining CFO uncertaintycan be seen as part of the time-varying channel a channel estimation that includes that composite channel is performed.Particularly, the channel estimation based on projection onto a bidimensional basis is shown to be adequate to performthis process. The approach suggested in this paper is illustrated for a superimposed training-based communicationsystem. Simulation results corroborate the validity of the proposed algorithm, where the performance obtained is similarto that achieved for the time-varying channel estimators based on bidimensional basis projection when no CFO is present.

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  • [1] Morelli M, Mengali U. An improved frequency offset estimator for OFDM applications. IEEE Commun Lett 1999; 3: 75-77.
  • [2] Lin H, Wang X, Yamashita K. A low-complexity carrier frequency offset estimator independent of dc offset. IEEE Commun Lett 2008; 12: 520-522.
  • [3] Cheng G, Xiao Y, Li S, Yan H. Joint frequency offset and channel estimation for OFDM/OQAM systems. IEICE T Commun 2012; E95.B: 1848-1851.
  • [4] Liu Y, Tan Z, Ai B. Frequency offset estimation for OFDM in frequency selective channel using repetitive sequence. IEICE T Commun 2011; E94.B: 1033-1042.
  • [5] Chung Y, Phoong S. OFDM channel estimation in the presence of receiver i/q imbalance and CFO using pilot symbols. IEICE T Commun 2012; E95.B: 531-539.
  • [6] Morelli M, Mengali U. Carrier-frequency estimation for transmissions over selective channels. IEEE T Commun 2000; 48: 1580-1589.
  • [7] Moosvi S, McLernon D, Orozco-Lugo A, Lara M, Alameda-Hernandez E. Improved carrier frequency offset estimation using data-dependent superimposed training. In: IEEE 4th International Conference on Electrical and Electronics Engineering; 5–7 September 2007; Mexico City, Mexico: IEEE. pp. 126-129.
  • [8] Moosvi S, McLernon D, Orozco-Lugo A, Lara M, Ghogho M. Carrier frequency offset estimation using datadependent superimposed training. IEEE Commun Lett 2008; 12: 179-181.
  • [9] Orozco-Lugo A, Lara M, Alameda-Hernandez E, Moosvi S, McLernon D. Frequency offset estimation and compensation using superimposed training. In: 4th International Conference on Electrical and Electronics Engineering; 5–7 September 2007; Mexico City, Mexico: IEEE. pp. 118-121.
  • [10] Jiang Q, Speidel J, Zhao C. A novel carrier frequency offset estimation for OFDM systems over time-varying multipath channels. Springer Wireless Personal Communications 2009; 49 (4): 587-596. doi: 10.1007/s11277-008- 9579-x.
  • [11] Carrasco-Alvarez R, Parra-Michel R, Orozco-Lugo A, Tugnait J. Time-varying channel estimation using twodimensional channel orthogonalization and superimposed training. IEEE T Signal Proces 2012; 60: 4439-4443.
  • [12] Orozco-Lugo A, Lara M, McLernon D. Channel estimation using implicit training. IEEE T Signal Proces 2004; 52: 240-254.
  • [13] Alameda-Hernandez E, McLernon D, Orozco-Lugo A, Ghogho M. Synchronisation and dc-offset estimation for channel estimation using data-dependent
  • [14] superimposed training. In: EURASIP 2005 European Signal Processing Conference; Antalya, Turkey; 2005. pp. 1-4.
  • [15] Slepian D. Prolate spheroidal wave functions, Fourier analysis, and uncertainty—V: the discrete case. Bell System Technical Journal 1978; 57: 1371-1430.