Title :
A fast robust LMS algorithm utilizing the dynamics of a damped pendulum
Author :
Haddad, T.F. ; Khasawneh, M.A.
Author_Institution :
Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan
Abstract :
A new fast LMS-based adaptive algorithm is proposed. It is derived by incorporating a damping force in the LMS update recursion in analogy with the force acting upon a damped planar pendulum. An expression for the evolution and the steady-state behaviour for the mean weight vector is developed. This expression provides a mathematical bound which constrains the parameter that controls the maximum contribution of the introduced damping force. Simulation results show an improved robust performance for the new algorithm as compared with the conventional LMS algorithm in smoothly tracking the optimal solution in correlated and nonstationary power environments, especially, in the presence of plant noise
Keywords :
adaptive signal processing; damping; least mean squares methods; pendulums; smoothing methods; tracking; LMS update recursion; correlated power environments; damped pendulum dynamics; damped planar pendulum; damping force; fast robust LMS algorithm; gradient based algorithm; mathematical bound; mean weight vector; nonstationary power environments; optimal solution; plant noise; robust performance; simulation results; steady-state behaviour; Adaptive algorithm; Convergence; Damping; Filters; Force control; Heuristic algorithms; Least squares approximation; Robustness; Steady-state; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480333
