基于速度模板匹配的扫描间杂波抑制方法

Scan-to-Scan Clutter Suppression Algorithm Based on Velocity Template

针对雷达杂波中单帧检测虚警概率高的问题,提出了基于速匹配的扫描间积累杂波抑制方法。该方法首先根据场景中目构造不同速度和加速度的运动模板,覆盖所有可能的目标运动。用不同的模板去匹配场景中的运动目标,实现目标的二元积累决,积累过程中根据多普勒信息对CFAR点迹进行辅助判决,进一步除雷达杂波虚警对扫描间积累性能的影响。最后,通过实测海杂验证所提方法的有效性。针对雷达杂波中单帧检测虚警概率高的问题,提出了基于速度模板匹配的扫描间积累杂波抑制方法。该方法首先根据场景中目标运动特征构造不同速度和加速度的运动模板,覆盖所有可能的目标运动轨迹。利用不同的模板去匹配场景中的运动目标,实现目标的二元积累和检测判决,积累过程中根据多普勒信息对CFAR点迹进行辅助判决,进一步剔除雷达杂波虚警对扫描间积累性能的影响。最后,通过实测海杂波数据验证所提方法的有效性。

In order to solve the problem of high Constant False Alarm Rate （CFAR） in single frame detection of radar clutter, a scan-to-scan accumulation algorithm based on velocity template is proposed in this paper. Firstly, velocity templates of different velocities and accelerations are constructed based on the movement characteristics of the targets, covering all the possible target trajectories. Secondly, the velocity templates are used to match different moving targets for making binary accumulation and detection judgment. During the accumulation, Doppler velocity information is used for assistant judgment, thus can further reduce the influence of the false alarms to detection performance. Finally, simulation results show that this algorithm can effectively suppress the radar clutter.