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空时处理是实现机载外辐射源雷达杂波抑制和目标能量积累的有效手段。然而,外辐射源雷达目标信号微弱,需要在长相干处理时间(CPI)下进行空时处理,以提高目标信噪比。长CPI下,目标将出现距离徙动,造成积累增益损失,降低系统威力。针对上述问题,该文根据外辐射源雷达特点,提出将Keystone变换与3DT-SAP算法有机结合的距离徙动校正算法。该算法计算效率高,具有实时处理的潜力,能在抑制杂波的同时校正距离徙动,且校正过程信号能量损失小。仿真表明,该算法能充分抑制杂波,且对不同速度、不同强弱的目标进行有效的距离徙动校正,是一种高效、高性能的机载外辐射雷达距离徙动校正算法。
Space-time processing is an effective means to achieve radar clutter suppression and target energy accumulation of airborne external radiation sources. However, the target signal of the external radiation source radar is weak and needs to be space-time processed under long coherent processing time (CPI) to improve the target signal-to-noise ratio. Under long CPI, the target will appear distance migration, resulting in loss of accumulated gain and reducing system power. In view of the above problems, according to the characteristics of the external radiation source radar, this paper proposes a distance migration correction algorithm that combines the Keystone transform with the 3DT-SAP algorithm. The algorithm has the advantages of high computational efficiency, potential for real-time processing, correction of distance migration while suppressing clutter, and small signal energy loss during calibration. Simulation results show that the proposed algorithm can effectively suppress clutter and correct the range migration of targets with different velocities and different strengths and weaknesses. It is an efficient and high performance algorithm for the range migration of airborne radars.