基于逻辑推理的地面目标融合算法研究

Study on Algorithm for Ground Target Fusion Based on Logic Inference

研究了基于地面传感器的地面运动目标数据融合问题。依据地面运动目标的类型和传感器上报的数据,应用Dempster-Shafer证据理论对地面运动目标进行身份识别。分析了地面运动目标跟踪的典型场景,采用逻辑推理方法进行目标跟踪。针对目标轨迹为折线的情况,选择最小二乘法进行目标的轨迹平滑。实际运行结果表明,地面运动目标数据融合算法是有效的。

The issue of moving ground target data fusion based on ground sensors is studied. According to the type of moving ground target and the data reported from sensors, Dempster-Shafer evidence theory is used for moving ground target identification. Typical moving ground target tracking scenario is analyzed and logic inference is introduced for target tracking. Least square method is selected for trajectory smoothing to solve the problem that target trajectory is segment-lines. Practical application results show that the algorithm for moving ground target data fusion is effective.