Title :
A Modified FBLMS Algorithm Research and Performance Analysis
Author :
Qi Hua ; Guo Tian-Yi ; Lian Bao-wan ; Liu Jun
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
As there is a conflict about block step size between the requirements of the convergence velocity and parameters´ maladjustment within FBLMS algorithm, a modified FBLMS algorithm is well presented in this paper which uses a variable block step size to solve the contradiction between convergence rate and precision. The modified FBLMS algorithm is simulated in the MATLAB platform. The simulation results prove that this algorithm not only has a faster convergence speed, a faster tracking speed and a smaller stationary error, but also has a better anti-jamming capability.
Keywords :
computational complexity; convergence; convolution; least mean squares methods; mathematics computing; Matlab simulation; antijamming capability; convergence velocity; modified FBLMS algorithm; parameters maladjustment; stationary error; tracking speed; variable block step size; Adaptive algorithm; Adaptive filters; Convergence; Educational institutions; Eigenvalues and eigenfunctions; Equations; Information science; Least squares approximation; Performance analysis; Time domain analysis;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.71