Notice of Violation of IEEE Publication PrinciplesFractal-based variable step-size least mean square algorithm for radar target detection in sea clutter

Notice of Violation of IEEE Publication Principles

"Fractal-Based Variable Step-Size Least Mean Square Algorithm for Radar Target Detection in Sea Clutter"
by Ningbo Liu, Zhiyu Che, Jian Guan, and Jian Zhang
in the Proceedings of the IEEE Radar Conference, May 2009

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper contains substantial duplication of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Variable Step-Size LMS Algorithm for Fractal Signals"
by Anubha Gupta and ShivDutt Joshi
in the IEEE Transactions on Signal Processing, Vol. 56, No. 4, April 2008, pp. 1411-1420

This paper introduces fractal-based variable step-size least mean square(FB-VSLMS) algorithm and proposes a model for radar target detection in sea clutter. FB-VSLMS algorithm deals with a specific class of fractal signals and except one of the step-size parameters requiring time-varying constraints, the constraints on the remaining parameters are time-invariant. And the step-size matrix is determined completely with the knowledge of the deterministic Hurst exponent. The model based on this algorithm is suited for tracking signals from the family of fractal signals that are inherently nonstationary. In the end, the performance of the novel model is analyzed. By the verification of X-band real sea clutter, the model is shown to be effective for point target detection in sea clutter.