距离-多普勒-时间三维雷达数据中的目标能量积累

根据连续多帧雷达距离-多普勒数据中的目标位置关系，提出一种积累距离-多普勒-时间三维空间中目标轨迹的方法。该方法采用多普勒维的移位运算，校正目标的帧间多普勒频移，通过矩阵重组，将校正后的距离-多普勒-时间三维数据分解为并列的距离-时间二维矩阵，最后通过积累重组的二维矩阵中的近似直线的目标轨迹来实现目标能量的长时间积累。该方法采用移位和累加运算完成，运算量小，可在工程应用中实现。实测数据的实验结果表明该方法能大大延长雷达信号的积累时间，有效提高目标的检测概率。

Integration of target energy in 3-D radar data of range-Doppler-time

According to the relation of target position in several sequential frames of radar range-Doppler data, a method of integrating the target track in 3-D space of range-Doppler-time is proposed. The shifting operation in Doppler dimension is employed to correct the Doppler spread among frames, and the corrected 3-D data are decomposed into parallel 2-D matrices of range-time by matrices reconstruction. Finally, long time integration is fulfilled by integrating the target track which approximates to a straight line in the recombined two-dimensional data. The proposed method can be implemented by shift and accumulation operation with low computation cost and be realized in engineering application. The experiment results of real measurements show that it can dramatically prolong the effective integration time of radar signal and highly improve the performance of target detection.