外辐射源雷达直升机旋翼参数估计方法

外辐射源雷达是一种基于第三方非合作照射源的新体制雷达系统，在微多普勒效应目标分类和识别方面具有独特的优势，而其特点也决定了微多普勒效应参数估计方法需要具有良好的抗噪性能且计算量要小。针对上述问题，该文依据外辐射源雷达直升机旋翼微动信号模型，提出了利用时频域中回波闪烁特征进行直升机旋翼参数估计的新思路。通过对时频图中正负频率轴数据的幅值分别进行累加，提取出回波闪烁参数，同时，依据微动信号内在特性构建字典矩阵，利用正交匹配追踪算法实现了叶片长度、叶片数量、旋翼转速等参数的估计，相比常规Hough变换参数估计方法，该文方法更准确，更迅速。仿真和实测证明了该文方法的有效性。 

Helicopter Rotor Parameter Estimation Method for Passive Radar

The passive radar is a new radar system based on third-party non-cooperative radiation sources, which has unique advantages in micro-Doppler target classification and recognition. Its characteristics determine that the micro-Doppler effect parameter estimation method must have a good anti-noise performance and a small amount of calculation. In view of these considerations, this study presents a new idea of helicopter rotor parameter estimation using an echo flicker in the time-frequency domain based on the micro-motion signal model for the passive radar. The echo flicker parameters are extracted by accumulating the amplitudes of the positive and negative frequency axis data in the time-frequency diagram. The dictionary matrix is constructed based on the inherent characteristics of the micro-motion signals. The blade length, blade number, rotor speed, and other parameters are estimated using the orthogonal matching pursuit algorithm. Compared with the method based on the conventional Hough transform, the proposed method is more accurate and more rapid. The simulation and experimental results prove the feasibility of this method.