【摘要】 雷达与AIS的船位点会因测量原理、设备特性、环境因素及船舶自身因素的影响而存在偏差。由于雷达测量的是船舶的外沿边界点，而AIS通常获取的是GPS天线的位置，二者的物理位置并不重合，导致他船获取同一船舶的位置数据存在固有的几何偏差。本文采用最小二乘法将雷达测得的船舶外沿边界点拟合成椭圆曲线，并基于此椭圆曲线推算更接近GPS天线位置的拟合点进行融合计算，从而减少了船舶尺度、相对位置及船型对雷达测量数据造成的误差。对于所选VLCC船舶，采用该方法将平均距离误差从155.74 m减少至33.47 m，误差降低了78.51%。此方法提高了轨迹估计的精度，为船舶航行和海上交通管理提供了更精确的导航信息。更多还原

【Abstract】 The position data from radar and AIS systems can exhibit discrepancies due to differences in measurement principles, equipment characteristics, environmental factors, and the ship’s own characteristics. Radar measures the ship’s outer boundary points, while AIS typically provides the position of the GPS antenna, resulting in a natural geometric discrepancy as these two positions do not coincide. This leads to inherent positional differences when other vessels attempt to obtain data for the same ship. In this paper, a least-squares method is employed to fit the outer boundary points measured by radar into an elliptical curve. Based on this curve, a point closer to the GPS antenna’s location is calculated to fuse the data.This reduces errors caused by the ship’s dimensions, relative position, and ship type on the radar measurement data. For the selected VLCC vessel, this method reduced the average positional error from 155.74 m to 33.47 m, a reduction of 78.51%.This approach improves trajectory estimation accuracy, providing more precise navigational information for maritime navigation and traffic management.更多还原