分析了直升机目标回波信号的微多普勒频谱，基于直升机目标和固定翼飞机目标多普勒频谱的差别，提出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，另一种模式特征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的计算结果表明该方法具有很好的识别效果。

This paper analyses first the micro-Doppler spectrum of echo-signals from a helicopter. Then it studies different Doppler spectrum signatures of echo-signals from a helicopter and those from an fixed wing aircraft. Based on above researches, the author suggests two Micro-Doppler features to identify the helicopter. In the two features, one describes the asymmetry of Doppler spectrum distribution of echo-signals from a helicopter; the other describes the contrast between the energy of echo-signals from fuselage and that of echo-signals from blades. Finally the result of computation with simulation data and experiment data shows the effect of the method is excellent.

TN959.17

国家自然科学基金项目（60402032）和国防预研基金项目