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Adaptive recursive least squares algorithm for joint FIR filtering and post-delay tracking in the process identification

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3 Author(s)
Yu Xingxing ; Dept. of Autom., Tsinghua Univ., Beijing, China ; Zhang Dali ; Yan PingFan

The joint FIR filtering and post delay tracking system identification problem is considered. The input signal to the unknown system is first filtered then delayed. An adaptive recursive least squares algorithm based on fast transversal filters is developed, which improves the algorithm proposed by D. Boudreau and P. Kabal (1993) by reducing the time complexity from O(19p) to O(7p). Its convergence and delay tracking properties are demonstrated by the identification of an LPS and linearly changing delay series system

Published in:

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

28-31 Oct 1997

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