Conventional high-resolution range profile detection methods essentially accumulate distance units within the detection window that are larger than a fixed threshold value to determine the presence or absence of a target.These methods ignore the characteristics of the continuous distribution of target scattering points in space and tend to accumulate strong noise points within the detection window that are obviously far from the target,resulting in a decrease in detection rate.To address this problem,this paper proposes a high-resolution range profile detection method based on the joint amplitude-space distribution,which combines the information of two dimensions of the spatial distribution of the target scattering point amplitude,uses iterative clustering to segment the high-resolution range profile within the detection window,and combines the false alarm rate to calculate the detection threshold.This method determines the test statistic by accumulating the target energy,and compares it with the detection threshold to determine the presence or absence of the target.In this paper,four typical scattering point distribution models and a range profile of a real target are used for Monte Carlo tests to verify that the proposed detector has better detection performance than conventional detectors.