摘要
地面目标振动信号的特征提取是进行目标识别技术的关键,针对人员行走、车辆行驶等地面目标运动时产生的振动信号,首先进行实验测试建立包含反映目标属性特征信息的信号样本数据库,然后通过过零数分析方法得到信号的时域特征,实现了单人与车辆的目标识别,最后采用Welch谱分析法对信号进行了频域分析并实现了单人与多人的目标识别。实验表明这两种方法简便、易实现,有较好的识别效果。
The feature extraction of seismic signals that ground targets produce is the critical technology of ob- ject recognition. In order to pick up the seismic signal produced by moving targets such as humans or vehicles, Firstly, we did an experiment and established the signal sample database containing information which reflects the target attribute characteristics. Through an analysis of the Zero-Crossing Number method, we have obtained the time domain feature of seismic signal, and two targets of single man and vehicles have been distinguished. Finally, the Welch spectral method is used to analyze the signal frequency domain, and we have distinguished two targets of sin- gle and more than a random man. The experiments show that the two methods have the advantages of simple opera- tion, easy implementation and good recognition effect.
出处
《电子科技》
2012年第9期105-107,123,共4页
Electronic Science and Technology
基金
陕西省自然科学基金资助项目(2010JM8041)
关键词
振动信号
瑞利波
时域分析
频域分析
目标识别
seismic signal
Rayleigh wave
time domain analysis
frequency domain analysis
object recognition
