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灰关联分析法在坦克声目标识别系统中的应用
引用本文:陈功,张雄伟,李耀波.灰关联分析法在坦克声目标识别系统中的应用[J].探测与控制学报,2006,28(3):39-42,55.
作者姓名:陈功  张雄伟  李耀波
作者单位:1. 解放军理工大学通信工程学院,江苏,南京,210007
2. 海军工程大学兵器工程系,湖北,武汉,430033
摘    要:提出了一种基于灰关联分析的坦克声目标识别算法。该算法提取坦克声信号线性预测系数特征作为关联参数,通过比较坦克声信号的灰关联值实现目标识别。仿真结果表明:该算法可以从信息不完全、关系不明确的坦克声信号中提炼主要因素进行识别,其实现方法简单,无噪背景下,平均识别率可达到90%。因此该算法在声目标识别系统中具有普适性和可行性。

关 键 词:灰关联  线性预测系数  目标识别
文章编号:1008-1194(2006)03-0039-04
收稿时间:2006-01-25
修稿时间:2006-01-252006-03-17

The Application of Tank Acoustic Target Recognition System Based on Gray Correlation Analysis
CHEN Gong,ZHANG Xiong-wei,LI Yao-bo.The Application of Tank Acoustic Target Recognition System Based on Gray Correlation Analysis[J].Journal of Detection & Control,2006,28(3):39-42,55.
Authors:CHEN Gong  ZHANG Xiong-wei  LI Yao-bo
Affiliation:1. ICE of PLAUST, Nanjing 210007 ,China; 2. Dept. of Weaponry Eng. Naval Univ. of Engineering, Wuhan 430033, China
Abstract:A recognition method based on gray correlation analysis algorithm is proposed. LPC is extracted from tank acoustic and taken as correlation parameter. Target recognition is implemented by contrasting gray correlation values of tank acoustic signals. Simulation indicates this method is not sensitive to incomplete and fuzzy tank acoustical signals, and the noise-free recognition rate can be up to about 90%. This method is effective and universal in target recognition.
Keywords:gray correlation  LPC  target recognition  simulation
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