The normalized fractionally-lower order moment (FLOM) algorithm exhibits fast convergence but high excess mean squared error (MSE) when the order is less than 2. This paper proposes a method using variable order moments to adaptively changing the order during adaptation, thus achieving both fast initial convergence and low excess MSE in the steady state. The algorithm is applied to both Gaussian and heavy-tailed non-Gaussian clutter suppression in phased array applications. The results show better performances of the proposed algorithm over the normalized FLOM and normalized Least Mean Square (NLMS) algorithms. The proposed algorithm also performs well in other adaptive filtering applications such as system identification and noise/echo suppression.

Meeting Name

IEEE Military Communications Conference, 2008. MILCOM 2008


Electrical and Computer Engineering


United States. Air Force. Office of Scientific Research

Keywords and Phrases

Echo Suppression; Mean Square Error Methods; Phased Array Radar; Space-Time Adaptive Processing

Library of Congress Subject Headings

Adaptive filters

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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