Abstract
A new variable step-size Least Mean p-norm (VSS-LMP) algorithm is proposed for phased array radar application with space-time adaptive processing to combat heavy-tailed non-Gaussian clutters. the algorithms automatically change the step size according to the estimated p-th and (2p - 2)-th moments of the error, where 1 ≤ p ≤ 2. the algorithm is evaluated via a space-slow-time STAP example and the excess Mean Square Error (MSE) and mis adjustment results show that the proposed vs.S-LMP converges fast and reaches lower steady-state error than the fixed step size LMP. It also provides a better compromise between convergence speed and low steady state error than existing vs.S Least Mean Square (LMS) algorithms in both Gaussian and Compound K clutter environments. ©2009 IEEE.
Recommended Citation
Y. R. Zheng and T. Shao, "A Variable Step-size LMP Algorithm for Heavy-tailed Interference Suppression in Phased Array Radar," IEEE Aerospace Conference Proceedings, article no. 4839472, Institute of Electrical and Electronics Engineers, Sep 2009.
The definitive version is available at https://doi.org/10.1109/AERO.2009.4839472
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
