外辐射源雷达多普勒徙动补偿新方法

长时间相参积累是外辐射源雷达提高目标增益的主要手段，由于其固有的双基构型及目标运动存在加速度等因素，使得积累期间跨越多个多普勒单元，导致多普勒徙动，从而严重影响目标积累增益，降低目标探测距离。现有的一些多普勒徙动校正方法因为计算量大，不能实时实现。提出的STFT-Hough变换方法通过无交叉数据滑动窗截取信号和多普勒频率取峰值的方式大大降低了算法的计算复杂度。最后仿真和实测数据表明，算法可以补偿运动目标检测中出现的多普勒徙动展宽，并且运算速度快，系统能够实时实现。

A New Doppler Migration Compensation Method for Passive Radar

Long-time coherent integration is a main method to improve target gain for passive radar. The bistatic configuration and target acceleration can lead to Doppler expansion, which decreases the gain and then the detection range. Some existing methods cannot work in real time because of the large calculation. The paper proposes a STFT-Hough transform method. Through segmenting the signal by window and getting the largest value in Doppler domain, the proposed method greatly reduces the computational complexity and can work in real time. Finally, the experiments based on simulation and real data verify the proposed algorithm.