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基于DEMON谱信息提取算法的目标识别方法研究
引用本文:白敬贤,高天德,夏润鹏.基于DEMON谱信息提取算法的目标识别方法研究[J].声学技术,2017,36(1):88-92.
作者姓名:白敬贤  高天德  夏润鹏
作者单位:西北工业大学航海学院, 陕西西安 710072,西北工业大学航海学院, 陕西西安 710072,西北工业大学航海学院, 陕西西安 710072
摘    要:宽带噪声解调(Detection of Envelope Modulation on Noise,DEMON)谱中的轴频叶频,对应螺旋桨转速和叶片数等舰船自身相对特征,这些特征可以作为目标识别的依据。综合运用改进的最大公约数算法和余数门限算法提取DEMON谱中的轴频和叶频,解决了传统最大公约数算法提取轴频叶频误差较大的问题。仿真数据与实测数据的实验结果均验证了DEMON谱信息提取算法的有效性。

关 键 词:DEMON谱分析  轴频叶频提取  目标识别  余数门限算法
收稿时间:2016/6/2 0:00:00
修稿时间:2016/8/30 0:00:00

Target recognition based on the information extraction algorithm of DEMON spectrum
BAI Jing-xian,GAO Tian-de and XIA Run-peng.Target recognition based on the information extraction algorithm of DEMON spectrum[J].Technical Acoustics,2017,36(1):88-92.
Authors:BAI Jing-xian  GAO Tian-de and XIA Run-peng
Affiliation:Northwestern Polytechnical University, Xi''an 710072, Shaanxi, China,Northwestern Polytechnical University, Xi''an 710072, Shaanxi, China and Northwestern Polytechnical University, Xi''an 710072, Shaanxi, China
Abstract:The shaft-frequency and blade-frequency of the Detection of Envelope Modulation on Noise (DEMON) spectrum correspond to the rotation speed of propeller, the number of blade and so on, which could be used as the gist of target recognition. This paper proposes the modified greatest common divisor algorithm and the remainder threshold algorithm to extract shaft-frequency and blade-frequency from the DEMON spectrum, which solves the problem of big deviation cased by traditional algorithm. The results of simulation and experiment show that the proposed DEMON spectrum information extraction algorithm is effective.
Keywords:DEMON spectrum analysis  extraction of shaft-frequency and blade-frequency  target recognition  the remainder threshold algorithm
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