为了有效剔除无效目标，降低雷达虚警概率，提出一种基于雷达环境噪声统计和目标功率分布特性的动态阈值计算方法。运用直方图统计方法估计每个距离门的噪声水平并对其进行峰值搜索找到局部峰值点，同时根据不同距离门雷达信号衰减的强弱，动态分配阈值增益，得到自适应峰值检测阈值。然后将局部峰值点作为参考单元的信号，并将其输入到检测方法中求解检测门限。实验结果表明，所提方法能够有效识别雷达在实际复杂应用场景下的目标。

To effectively eliminate invalid targets and reduce the probability of false alarms， a dynamic threshold calculation method based on radar ambient noise statistics and target power distribution characteristics is proposed. The histogram statistical method is used to estimate the noise level of each range gate and search the peak value to find the local peak point. Simultaneously， the adaptive peak detection threshold is obtained by dynamically allocating the threshold gain according to the attenuation of different range gate radar signals. The local peak point is then taken as the signal of the reference unit and input into the detection method to solve the detection threshold. The experimental results show that the proposed method can effectively identify radar targets in complex application scenarios.