基于距离分段的目标长时间积累方法研究

目标长时间积累是弱小目标检测的有效手段,但目标跨距离门走动使常规积累方法效果不佳。文中首先利用雷达系统的重复频率信息,给出基于最大探测速度的脉冲积累个数,实现脉冲分段和段内脉冲的相参积累;然后基于最小熵实现了距离包络对齐,完成脉冲组的非相参积累,该方法能有效解决目标能量长时间积累中的跨距离门问题。最后,利用仿真验证了该方法的有效性,具有一定的工程价值。

A Study on Long-term Integration Based on Segmented Range

Long-term integration is an effective method to achieve dim small target detection, but present integration methods are affected by range migration. In this paper, the pulse number of coherent integration is defined based on radar PRF and target velocity, and then un-coherent integration is accomplished by a fast range alignment method based on minimum entropy criterion. Simulation results show reference value in engineering application.