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Mathematical Problems in Engineering
Volume 2014, Article ID 376586, 6 pages
http://dx.doi.org/10.1155/2014/376586
Research Article

A Pulse Signal Characteristic Recognition Algorithm Based on Multifractal Dimension

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Received 18 August 2014; Revised 15 November 2014; Accepted 15 November 2014; Published 9 December 2014

Academic Editor: Miguel A. F. Sanjuan

Copyright © 2014 Yi-bing Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In low SNR condition, it is difficult to identify the radio transient characteristics of the signals. To solve this problem, a new recognition algorithm based on multifractal dimension characteristics is proposed. In fractal theory, multifractal dimension is the most sophisticated characterize that can describe the similar characteristics of the signals. Therefore, multifractal dimension is used in this paper to extract the subtle features of different impulse noise signals, in order to achieve the purpose of the classification and identification of the radiation source.