基于旋翼微动雷达特征的空中目标识别

Identification of airtarget based on the micromotion radar signatures of blades

详细分析了直升机目标回波信号的多普勒谱的构成,针对直升机目标和固定翼飞机目标多普勒谱的差别,提取了两种微多普勒特征用于识别直升机目标和固定翼飞机目标,其中一种利用了直升机回波信号正负多普勒频谱能量的不对称性,另外一种利用了机身回波信号能量与旋翼回波信号能量的对比,使用仿真数据和试验测试录制的数据计算结果表明,该方法具有很好的识别效果。

The composition of micro-Doppler spectrum is first analyzed for echo-signals from a helicopter. Then Doppler spectrum signatures are investigated for echo-signals from a helicopter and those from an immobile-blade aircraft. Based on the differences of Doppler spectrum signatures, two micro-Doppler features are presented for helicopter identification. One feature describes the asymmetry of Doppler spectrum distribution, and the other shows the contrast between the energy of echo-signals from fuselage and that from blades. Finally a simulation with synthetic data and experiment data is presented, and the simulation result shows the validity of the method.