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本文提出了一种宽带毫米波雷达体制下基于高分辨一维距离像的强地物杂波背景中未知速度的高速运动目标检测新算法。该算法的基本思想是：首先放宽虚警率的限制，实现满足检测概率要求的单周期径向积累检测，然后通过多周期中检测结果的特征相关和可移动距离单元的积累去除虚警，以满足给定的虚警概率要求。理论分析和仿真实验表明，该算法可以实现低信杂比、低虚警情况下高的目标检测概率。
In this paper, a new algorithm for detecting high-speed moving objects at unknown velocities in strong clutter background based on high-resolution one-dimensional range image is proposed. The basic idea of this algorithm is: First, relax the restrictions of false alarm rate to realize the single-cycle radial accumulation detection that meets the detection probability requirement, and then remove the false alarm by the feature correlation of the detection results in multi-period and the accumulation of movable distance elements Meet the given false alarm probability requirement. Theoretical analysis and simulation experiments show that this algorithm can achieve high target detection probability under low SNR and low false alarms.