Paper Info
Title
A New Variable Step-Size Fractional Lower-Order Moment Algorithm For Non-Gaussian Interference Environments
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 VSS-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 VSS-FLOM algorithm outperforms the fixed step-size NFLOM and VSS-LMS algorithms in non-Gaussian interference environments.
Year
DOI
Venue
2009
10.1109/ISCAS.2009.5118200
ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5
Keywords
Field
DocType
non-Gaussian interference suppression, robust adaptive filter, variable step size, Least Mean P-Moment (LMP) algorithm, fractional lower-order moment (FLOM) algorithm
Least mean squares filter,Convergence (routing),Signal processing,Control theory,Algorithm,Robustness (computer science),Gaussian,Adaptive filter,Interference (wave propagation),System identification,Mathematics
Conference
Citations 
PageRank 
References 
7
0.77
6
Authors
2
Name
Order
Citations
PageRank
Tiange Shao1813.96
Yahong Rosa Zheng288576.15