无人直升机轴频磁场信号检测方法研究

轴频磁场信号是无人直升机在机动飞行时产生的一种重要物理场,是一种难以被隐藏的目标特征信号.通过分析轴频磁场信号能实现对无人直升机的检测和识别,并能监测其运动状态.利用磁场传感器采集无人直升机的轴频磁场信号,并利用短时傅里叶变换算法对实测数据进行时频分析.实测结果表明,无人直升机在机动飞行中能产生特定随运动状态变化的5～40 Hz的轴频磁场信号.通过对该特征信号的提取,实现了对无人直升机的准确检测和识别,该探测方法在实测数据的应用中取得了良好的效果.

Research on shaft rate magnetic field signal detection method of the unmanned helicopter

Shaft rate magnetic field signals produced by the unmanned helicopters in maneuver flight is an important physical fields, which is difficult to be stealth. Unmanned helicopters can be detected and identified by analyzing the shaft rate magnetic signal, and the status of the unmanned helicopters can be monitored. In this paper, the magnetic field sensors are used to detect the shaft rate magnetic field signals of the unmanned helicopters. Short time Fourier transform for time-frequency analysis is applied to deal with the measured data. The testing results show that the specific shaft rate magnetic field signals of 5～40 Hz which are related to unmanned helicopter's status are generated in unmanned helicopters maneuver flight. According to the characteristics of the signal, detection and identification of unmanned helicopters are realized. The detection method has a good effect in the real data application.