介绍了一种低成本的低空空域雷达监视实验系统，并提出了一种基于雷达平面位置指示（PPI，Plane Position Indicator）图像的目标检测与跟踪算法，其中杂波抑制和目标状态估计是两项关键技术．经过背景差分的雷达PPI图像，仍然含有大量的背景边缘杂波，该算法利用其空域特性进行杂波抑制，并采用交互式多模型（IMM，Interactive Multiple Models）方法对目标的匀速、加速、减速、转弯等机动运动进行跟踪,详细分析了仿真数据的跟踪效果，并将整套算法应用于两组实测PPI图像，实验结果说明其有效性。%An affordable low-altitude airspace experimental radar surveillance system was introduced and the target detection and tracking scheme based on plane position indicator （PPI） radar images was proposed, where clutter suppression and target state estimation are two critical techniques. After background subtraction of PPI radar images, there are still much clutter distributed around the original background objects, so its spa- tial characteristic was utilized for clutter suppression, and then the interactive multiple models （IMM） method was adopted for tracking of target maneuvering motions with uniform speed, acceleration, deceleration and the application of overall scheme to two sets of live PPI images were also provided showing the effectiveness of the proposed approach.
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