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。
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.
出处
《探测与控制学报》
CSCD
北大核心
2006年第3期39-42,55,共5页
Journal of Detection & Control
