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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5~40Hz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。
Axial-frequency magnetic field signal is an important physical field generated by unmanned helicopter during maneuver flight, which is a difficult to be hidden target characteristic signal. By analyzing the axial frequency magnetic field signals can detect and identify unmanned helicopters, and can monitor the movement of the state. The magnetic field sensor is used to acquire the axial frequency magnetic field signal of the unmanned helicopter. The short-time Fourier transform algorithm is used to analyze the measured data in time-frequency. The experimental results show that the unmanned helicopter can generate 5 ~ 40Hz axial frequency magnetic field signal with the specific movement state in the maneuver flight. Through the extraction of the characteristic signal, the unmanned helicopter can be accurately detected and identified, and the detection method has achieved good results in the application of the measured data.