Abstract
A new variable step-size fractional lower-order moment (FLOM) algorithm is proposed for non-Gaussian interference suppression. the Normalized FLOM algorithm is a generalization of the normalized least mean square (NLMS) algorithm with a lower order p ≤ 2 and p = 2 corresponding to the NLMS algorithm. with a fixed step size, the smaller the order p, the faster the convergence of the NFLOM algorithm, but the higher the excess mean square errors (MSE) after convergence. the proposed vs.S-FLOM provides a compromise solution to the two conflicting goals of low excess MSE and fast convergence. Simulation results for a system identification application in Gaussian and compound K interference environments show that the proposed vs.S-FLOM algorithm outperforms the fixed step-size NFLOM and vs.S-LMS algorithms in non-Gaussian interference environments. ©2009 IEEE.
Recommended Citation
T. Shao and Y. R. Zheng, "A New Variable Step-size Fractional Lower-order Moment Algorithm for Non-Gaussian Interference Environments," Proceedings - IEEE International Symposium on Circuits and Systems, pp. 2065 - 2068, article no. 5118200, Institute of Electrical and Electronics Engineers, Oct 2009.
The definitive version is available at https://doi.org/10.1109/ISCAS.2009.5118200
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Fractional lower-order moment (FLOM) algorithm; Least Mean P-Moment (LMP) algorithm; Non-Gaussian interference suppression; Robust adaptive filter; Variable step size
International Standard Book Number (ISBN)
978-142443828-0
International Standard Serial Number (ISSN)
0271-4310
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
26 Oct 2009
