Blind adaptive multiuser detection based on Kalman filtering

  • Authors:
  • Xian-Da Zhang;Wei Wei

  • Affiliations:
  • Key Lab. for Radar Signal Process., Xidian Univ., Xi'an;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 2002

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Abstract

Although several Kalman filtering algorithms have been presented for adaptive multiuser detection, none is "blind" due to requiring training data sequences and/or more knowledge than the spreading waveform and delay of the desired user. This paper proposes a novel blind adaptive multiuser detector based on Kalman filtering and compares it with previously published LMS and RLS algorithms for blind adaptive multiuser detection. It is shown that the steady-state excess output energy of the Kalman filtering algorithm is identically zero for a stationary environment. Simulation results show the effectiveness of the new Kalman filtering algorithm