基于小波分析的战斗机起飞噪声特性

为封锁跑道智能地雷的目标识别提供一种有效的技术手段,利用小波分析的方法对战斗机起飞噪声信号的时频特性进行分析,通过对其起飞阶段产生的噪声信号进行了测试方面的研究。利用小波变换技术对该噪声信号的时频特性进行分析,获取了目标信号在多尺度上的细部特征。结果表明,利用小波变换获取的能量分配特征与战斗机起飞噪声信号频率分布相一致。

Characteristic of taking-off fighter noise by wavelet analysis

The characteristic of time-frequency zone of the taking-off fighter noise was researched by wavelet analysis.This is an effective measure for target identification of intelligent mines used to blockade runway.In this paper,the noise source of the fighter was analyzed.The test of the noise signal about taking-off fighter was studied.The principle of wavelet analysis was expatiated.The characteristic of time-frequency zone was analyzed by the technique of wavelet analysis.Detailed characteristic of the target signal on the multi-scale was obtained.The results indicate that the characteristic of energy distribution obtained by the wavelet analysis is consistent with frequency distribution of the taking-off fighter noise.