Abstract
A diversity enhanced-particle filtering (DE-PF) approach is proposed in this paper to estimate carrier frequency offset in non linear OFDM system models. The major problem in using existing particle filter (PF) for estimating carrier frequency offset (CFO) is particle impoverishment due to its present sequential importance resampling process. To solve this problem, DE-PF is proposed which uses a novel resampling algorithm to obtain a new set of resampled particles contain more state information of their adjacent particles also. Hence, the output particles can express the posterior PDF of the state better. Also, simulations indicate that the proposed DE-PF can evidently improve CFO estimation accuracy.
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Morelli, M., & Mengali, U. (1999). An improved frequency offset estimator for OFDM applications. IEEE Communications Letters, 3(3), 75–77.
Moose, P. H. (1994). A technique for orthogonal frequency division multiplexing frequency offset correction. IEEE Transactions on Communications, 42(10), 2908–2914.
Schmidl, T. M., & Cox, D. C. (1997). Robust frequency and timing synchronization for OFDM. IEEE Transactions on Communications, 45(12), 1613–1621.
Coulson, A. J. (2001). Maximum likelihood synchronization for OFDM using a pilot symbol: Algorithms. IEEE Journal on Selected Areas in Communications, 19(12), 2486–2494.
Ghogho, M., & Swami, A. (2004). Unified framework for a class of frequency-offset estimation techniques for OFDM. In IEEE international conference on acoustics, speech and signal processing (ICASSP’04), Montreal, Canada, May 17–21, 2004.
Pandy, M., & Ramamoorthy K. (2013). A novel two stage carrier frequency offset estimation and compensation scheme in multiple input multiple output-orthogonal frequency division multiplexing system using expectation and maximization iteration. Journal of Computer Science, 9(11), 1526–1533.
Morelli, M. (2004). Timing and frequency synchronization for the uplink of an OFDMA system. IEEE Transactions on Communications, 45(2), 296–306.
Ghirmai, T., Bugallo, N. F., Miguez, J., & Djuri, P. M. (2005). A sequential Monte Carlo method for adaptive blind timing estimation and data detection. IEEE Transactions on Signal Processing, 53(8), 2855–2865.
Palamides, A. P., & Maras, A. M. (2007). A Bayesian state-space approach to combat inter-carrier interference in OFDM systems. IEEE Signal Processing Letters, 14(10), 677–679.
Yang, S. Y., Huang, W. J. (2009). A method of genetic algorithm optimized extended Kalman particle filter for nonlinear system state estimation. In Proceedings of the 5th international conference on natural computation (Vol. 5, pp. 313–316).
Liu, J., & Chen, R. (1998). Sequential Monte Carlo methods for dynamic systems. Journal of the American Statistical Association, 93, 1031–1041.
Bertozzi, T., Le Ruyet, D., Rigal, G., & Vu-Thien, H. (2003). On particle filtering for digital communications. In Proceedings of 4th IEEE workshop on signal processing advances in wireless communications (pp. 570–574).
Gustafsson, F., Gunnarsson, F., Bergman, N., Forssell, U., Jansson, J., Karlsson, R., & Nordlund, P. J. (2002). Particle filters for positioning, navigation and tracking. IEEE Transactions on Signal Processing, 50(2), 425–437.
Kotecha, J. H., & Djurić, P. M. (2003). Gaussian particle filtering. IEEE Transactions on Signal Processing, 51(10), 2592–2601.
Karlsson, R., Schon, T., & Gustafsson, F. (2005). Complexity analysis of the marginalized particle filter. IEEE Transactions on Signal Processing, 53(11), 4408–4411.
Malarvezhi, P., & Kumar, R. (2015). Particle filter with novel resampling algorithm: A diversity enhanced particle filter. Wireless Personal Communication,. doi:10.1007/s11277-015-2793-4.
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Malarvezhi, P., Kumar, R. A Diversity Enhanced Particle Filter for Carrier Frequency Offset Estimation in Nonlinear OFDM System. Wireless Pers Commun 89, 15–26 (2016). https://doi.org/10.1007/s11277-016-3248-2
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DOI: https://doi.org/10.1007/s11277-016-3248-2