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Particle filter for joint frequency offset and channel estimation in MIMO-OFDM systems

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Journal of Shanghai University (English Edition)

Abstract

A particle filter is proposed to perform joint estimation of the carrier frequency offset (CFO) and the channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless communication systems. It marginalizes out the channel parameters from the sampling space in sequential importance sampling (SIS), and propagates them with the Kalman filter. Then the importance weights of the CFO particles are evaluated according to the imaginary part of the error between measurement and estimation. The varieties of particles are maintained by sequential importance resampling (SIR). Simulation results demonstrate this algorithm can estimate the CFO and the channel parameters with high accuracy. At the same time, some robustness is kept when the channel model has small variations.

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Authors and Affiliations

  1. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China

    **g Zhang  (张 静), Han-wen Luo  (罗汉文) & Rong-hong **  (金荣洪)

  2. Department of Communication Engineering, Shanghai Normal University, Shanghai, 200234, P. R. China

    **g Zhang  (张 静)

Authors
  1. **g Zhang  (张 静)
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  2. Han-wen Luo  (罗汉文)
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  3. Rong-hong **  (金荣洪)
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Corresponding author

Correspondence to **g Zhang  (张 静).

Additional information

Project supported by the National Natural Science Foundation of China (Grant No.60572157), and the International Cooperation Foundation (Grant No.2008DFA11950)

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Zhang, J., Luo, Hw. & **, Rh. Particle filter for joint frequency offset and channel estimation in MIMO-OFDM systems. J. Shanghai Univ.(Engl. Ed.) 13, 438–443 (2009). https://doi.org/10.1007/s11741-009-0604-3

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  • DOI: https://doi.org/10.1007/s11741-009-0604-3

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