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 |
基于DEMON谱信息提取算法的目标识别方法研究 |
Target recognition based on the information extraction algorithm of DEMON spectrum |
投稿时间:2016-06-02 修订日期:2016-08-30 |
DOI:10.16300/j.cnki.1000-3630.2017.01.016 |
中文关键词: DEMON谱分析 轴频叶频提取 目标识别 余数门限算法 |
英文关键词: DEMON spectrum analysis extraction of shaft-frequency and blade-frequency target recognition the remainder threshold algorithm |
基金项目: |
|
摘要点击次数: 1172 |
全文下载次数: 1630 |
中文摘要: |
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。 |
英文摘要: |
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. |
查看全文
查看/发表评论 下载PDF阅读器 |
关闭 |