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

作　　者：张胜[1,2] 方向[1] 张卫平[1] 

机构地区：[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

出　　处：《兵工学报》2012年第7期822-825,共4页Acta Armamentarii

基　　金：总装备部预先研究项目(ZLY2008424)

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。A generalized multifractal spectrum algorithm based on 1-norm Minkowski measure was pro- posed to resolve the problem that present multifractal spectrum algorithm was too complicated to be ap- plied in identification for early alarming, the experiment was implemented to prove the validity of the al- gorithm for tank-radiated noise identification as well. This algorithm reduced the numeration of the gener-alized muhi-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.

关 键 词：信息处理技术 预警识别 多重分形谱 坦克噪声 

分 类 号：TJ43[兵器科学与技术—火炮、自动武器与弹药工程]