基于1阶Minkowski度量的多重分形谱算法

doi:10.3969/j.issn.1000-1093.2012.07.010

兵工学报 ›› 2012, Vol. 33 ›› Issue (7): 822-825.doi: 10.3969/j.issn.1000-1093.2012.07.010

基于1阶Minkowski度量的多重分形谱算法

张胜^1,2，方向¹，张卫平¹

（1．解放军理工大学工程兵工程学院，江苏南京 210007；2．解放军国际关系学院 5系，江苏南京 210039）

收稿日期:2011-05-27 修回日期:2011-05-27 上线日期:2017-02-28
作者简介:张胜（1979—），男，讲师，博士研究生
基金资助:
总装备部预先研究项目（ZLY2008424）

A Multifractal Spectrum Algorithm Based on 1-Norm Minkowski Measure

ZHANG Sheng^1,2, FANG Xiang¹, ZHANG Wei-ping¹

(1.Engineering Institute of Engineering，PLA University of Science and Technology, Nanjing 210007, jiangsu, China；2.Department 5, PLA Institution of International Relations, Nanjing 210039, Jiangsu, China）

Received:2011-05-27 Revised:2011-05-27 Online:2017-02-28

摘要/Abstract

摘要： 针对目前广义维数多重分形谱算法运算量大，难以用于预警识别的现状，提出1阶Minkowski度量的多重分形谱算法，并将该算法用于坦克噪声预警识别试验。该方法根据广义维数定义本质，通过简化测度计算，减少运算量。试验表明，该算法在信噪比较低时，预警识别性能高于目前常用的过零率检测方法。

关键词: 信息处理技术, 预警识别, 多重分形谱, 坦克噪声

Abstract: A generalized multifractal spectrum algorithm based on 1-norm Minkowski measure was proposed to resolve the problem that present multifractal spectrum algorithm was too complicated to be applied in identification for early alarming, the experiment was implemented to prove the validity of the algorithm for tank-radiated noise identification as well. This algorithm reduced the numeration of the generalized multi-fractal spectrum by simplifies the measure according to the definition of generalized dimension. The experiment demonstrates that under low SNR the ability of early alarming identification by this method is higher than zero-pass analyzing method we use today.

Key words: information processing, identification for early alarming, multifractal spectrum, tank-radiated noise

中图分类号:

TJ43

张胜，方向，张卫平. 基于1阶Minkowski度量的多重分形谱算法[J]. 兵工学报, 2012, 33(7): 822-825.

ZHANG Sheng, FANG Xiang, ZHANG Wei-ping. A Multifractal Spectrum Algorithm Based on 1-Norm Minkowski Measure[J]. Acta Armamentarii, 2012, 33(7): 822-825.

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基于1阶Minkowski度量的多重分形谱算法

A Multifractal Spectrum Algorithm Based on 1-Norm Minkowski Measure

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