ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.015
Variable-Order Iterative LMS Adaptive Filtering Algorithm
Abstract— This paper introduces the Fractional tap-length least mean square (FTLMS) algorithm with
fractional order, Analysis the effect of the performance for the FTLMS algorithm convergence by the
iterative parameters in this algorithm .A new variable parameter FTLMS (VP-FTLMS) is proposed to reduce
the output error of the system with the order of the filter. The algorithm proposed in this paper is simulated
and validated in both high noise and low noise environment, and compared with the FTLMS algorithm with
different filter order iterative parameters. The simulation results show that the proposed VP-FTLMS
algorithm has faster convergence rate and smaller steady-state oscillation than the FTLMS algorithm, and it
can also obtains a small excess mean square error (EMSE).
Index Terms— adaptive filter, variable tap-length, variable adaptive parameter
Nie Xiangju, Qiao Shuang, Ge Hongjun
Heilongjiang Institute of Technology, CHINA
Harbin First Machines Manufacturing Limited Company, CHINA
Cite: Nie Xiangju, Miao Xinglei, Qiao Shuang, Ge Hongjun, "Variable-Order Iterative LMS Adaptive Filtering Algorithm," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 90-94, Beijing, 25-27 June, 2017.