摘要
利用单个被动声传感器的声信号进行直升机目标检测,介于直升机声信号的功率谱是由一系列强相关的谐波分量叠加于宽带随机分量组成,着重研究在频域中的谐波集(HS)检测并给出详细算法。通过大量实测信号的测试表明,该方法对于不同飞行状态和距离下的直升机均有较强的检测能力,而且可以进一步为直升机目标识别分类提取有效的特征量。
The main purpose of the paper is to detect the helicopter target using a single passive acoustic sensor. Because the power spectrum of the helicopter acoustic signal consists of strong harmonically related tones superimposed on a broadband random component, we put emphasis on the algorithm study of Harmonic Set (HS) detection method in the frequency domain. Test on the real data shows that the HS detection method has good performance to the helicopter in almost all cases, and can extract effective features for the helicopter target identification furthermore.
出处
《探测与控制学报》
CSCD
北大核心
2003年第3期14-16,29,共4页
Journal of Detection & Control
基金
国防重点实验室预研基金资助项目(51454020101HK0307)
关键词
直升机
声检测
归一化
谐波集(HS)
helicopter
acoustic detection
normalization
Harmonic Set (HS)
