Simplified Kalman estimation of fading mobile radio channels: high performance at LMS computational load

  • Authors:

  • Lars Lindbom

  • Affiliations:

  • Systems and Control Group, Uppsala University, Uppsala, Sweden

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
  • Year:
  • 1993

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Abstract

Low complexity algorithms for channel estimation in Rayleigh fading environments are presented. The channel estimators are presumed to operate in conjunction with a Viterbi detector, or an equalizer. The algorithms are based on simplified internal modelling of time-variant channel coefficients and approximation of a Kalman estimator. A novel averaging approach is used to replace the on-line update of the Riccati equation with a constant matrix. The associated Kalman gain is expressed in an analytical form. Compared to RLS tracking, both a significantly lower bit error rate and a much lower computational complexity is attained.