Abstract
Two variable step-size normalized least mean square (VSS-NLMS) algorithms, namely the non-parametric vs.S-NLMS and Switched Mode vs.S-NLMS, are reformulated into complex signal form for STAP applications. the performances of these two vs.S NLMS algorithms in Gaussian and compound-K clutters are evaluated via a phased array space-slow-time STAP example. We find that the mis adjustment behaviors are inconsistent with the excess MSEs which is a better measure of STAP performance. Both vs.S-NLMS algorithms outperform conventional fixed step size (FSS) NLMS algorithms with fast convergence and low steady-state excess MSE. the SM-VSS-NLMS provides a better performance compromise than the NP-VSS-NLMS with much lower steady-state excess MSEs and slightly slower convergence speeds. the performance gain of both vs.S algorithms reduces in heavy-tailed clutter environments than that in Gaussian clutters. their robustness against impulsive interference is better than conventional FSS-NLMS. ©2009 IEEE.
Recommended Citation
Y. R. Zheng and R. Lynch, "Performances of Variable Step-size Adaptive Algorithms in Non-Gaussian Interference Environments," IEEE Aerospace Conference Proceedings, article no. 4839470, Institute of Electrical and Electronics Engineers, Sep 2009.
The definitive version is available at https://doi.org/10.1109/AERO.2009.4839470
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142442622-5
International Standard Serial Number (ISSN)
1095-323X
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
21 Sep 2009
