CAJ | 학술논문

针对无源雷达中高速机动目标在积累时间内出现距离和多普勒徙动，导致检测性能恶化的问题。该文建立了目标信号模型，提出一种基于Keystone变换结合傅里叶变换分段计算的高速机动目标检测方法，通过信号重叠分段划分快时间和慢时间，利用Keystone变换校正径向速度差的距离徙动，再对慢时间进行二次分段，并结合傅里叶变换的分段计算完成径向加速度差的距离和多普勒徙动校正，实现信号相参积累和目标检测。仿真和实测数据结果验证了该方法的有效性。
침대무원뢰체중고속궤동목표재적루시간내출현거리화다보륵사동，도치검측성능악화적문제。해문건립료목표신호모형，제출일충기우Keystone변환결합부리협변환분단계산적고속궤동목표검측방법，통과신호중첩분단화분쾌시간화만시간，이용Keystone변환교정경향속도차적거리사동，재대만시간진행이차분단，병결합부리협변환적분단계산완성경향가속도차적거리화다보륵사동교정，실현신호상삼적루화목표검측。방진화실측수거결과험증료해방법적유효성。
For passive radar, the maneuvering target causes range cell migration and Doppler cell migration, leading to a detection ability loss. The signal model is established and a novel detection algorithm is proposed to solve the problem. Firstly, the fast and slow time domains are divided by the overlapping segment method and the Keystone transform is adopted in order to correct the range cell migration due to differential velocity. Then the signal is divided into segments second time in the slow time domain. Finally range cell migration and Doppler cell migration induced by differential acceleration are corrected by the segmentation implementation method of the Fourier transform to achieve long term coherent integration. Experiments based on simulated and practical signals verify the effectiveness of the proposed algorithm.