Title :
Variable tap-length adaptive algorithm which exploits both second and fourth order statistics
Author :
Zhang, Yonggang ; Li, Leilei ; Chambers, Jonathon A.
Author_Institution :
Adv. Signal Process. Group, Loughborough Univ., Loughborough
Abstract :
A new variable tap-length adaptive algorithm which exploits both second and fourth order statistics is proposed in this paper. In this algorithm, the tap-length of the adaptive filter is varying rather than fixed, and controlled by fourth order statistics, whereas the coefficient update retains a conventional least mean square (LMS) form. As will be seen in the simulation results, the proposed algorithm has a faster convergence rate as compared with an existing variable tap-length LMS algorithm which is based only on second order statistics in sub-Gaussian noise environments.
Keywords :
Gaussian noise; adaptive filters; convergence of numerical methods; higher order statistics; least mean squares methods; LMS algorithm; adaptive filter; convergence rate; fourth order statistics; least mean square algorithm; second order statistics; sub-Gaussian noise environments; variable tap-length adaptive algorithm; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Least squares approximation; Mean square error methods; Noise robustness; Signal processing algorithms; Statistics; Working environment noise; Adaptive filters; LMS algorithm; fourth order statistics; variable tap-length;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697111
