Kalman-filter channel estimator based on pilot signal for WiMAX In time and frequency-selective fading environment

  • Authors:

  • Zhao hui-yu;Ji chang-peng

  • Affiliations:

  • Institute of Graduate, Liaoning Technical University, Huludao, China;School of Electronic and Information Engineering, Liaoning Technical University, Huludao, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

A low-dimensional Kalman filter method is adopted in time and frequency-selective fading environment in Channel estimator based on block-type pilot signals for WiMAX which adopt OFDM physical layer. For simplicity, we use autoregressive process to model the time-varying channel. The algorithm take advantage the structure of OFDM symbol which has two-dimensional of time-frequency, first, the one-dimensional Kalman filter estimator is used to estimate per sub-carrier of channel; Then take least square algorithm to obtain the fading factor a. The second, a minimum mean-square-error combiner is used to refine one-dimensional Kalman estimates. The third step is to reduce high complexity of getting the inverse matrix utilizing the relationship of frequency response.