对于高距离分辨雷达,快速复杂运动目标在相参积累时间内出现的越距离单元走动给检测与识别带来极大的困难.本文针对快速旋转目标越距离单元走动的问题,提出了一种新的分段伪Keystone变换方法,对越距离单元走动进行校正.该方法首先将数据按一定准则分段,每段数据用伪Keystone变换处理,校正目标的越距离单元走动,然后将每段数据“拼接”在一起,完成整个观测时间的距离像对齐,并在此基础上实现积累时间内的相参检测.采用离散匹配傅里叶变换实现了该变换的快速算法,仿真实验验证了算法的有效性.%It is a challenge to detect or recognize targets with fast complex motion for high range resolution radar,by reason of migration through resolution cells (MTRC) during the observing time. Aiming at solving the problem of MTRC for rotating targets , this paper proposes a new method named Segmental Pseudo Keystone Transform ( SPKT), to correct the MTRC. Observed data is divided into pieces obeying the rules firstly. Each piece of data is processed by the SPKT to realize MTRC correction. And then, data processed is put together to level the HRRP in the whole observing time. Based on which, coherent integration is carried out during the accumulation time.The fast realization is achieved by employing the Discrete Match Fourier Transform (DMFT) .Computer simulations demonstrate the validity of this algorithm.
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