Modification of the line-of-sight motion error for squinted SAR after real-time PRF adjustment

The motion error of a multi-rotor unmanned aerial vehicle (UAV) leads to severe image blurring for mini synthetic aperture radar (SAR) systems. along-track displacement usually is compensated in advance through real-time pulse repetition frequency (PRF) adjustment. And then, only the cross-track considered traditional compensation (MOCO) algorithms. However, instantaneous range expression based on geometry squinted SAR shows that residual after PRF adjustment cannot be ignored, especially mini-SAR Therefore, line-of-sight (LOS) modified by introducing error. first and second-order factors LOS MOCO are redefined. experimental results show proposed method can reduce significantly improve imaging performance mounted UAV.