一种时间校准方法及在航运信息处理中应用

A Time Calibration Algorithm and Its Application in Marine Information Processing

传统的AIS与雷达目标信息融合中时间校准算法的计算存在复杂度高,融合精度低的缺点,且AIS和雷达的采样信息容易发生错漏的现象。针对上述问题,提出了一种基于最小二乘准则的时间校准算法。该方法的基本思想是采用样条函数对各传感器的采样数据进行拟合,并基于最小二乘准则在样条函数类中找出一函数使其满足拟合误差平方和最小的要求。与传统的方法相比,计算机仿真结果验证了新方法在计算复杂度上和融合精度上的有效性。

Traditional time calibration algorithms in AIS and radar information fusion have shortcomings in computation cost and accuracy,besides,sampled information from AIS and Radar would probably be inaccurate or partly missing.Aiming at those problems,a time calibration algorithm based on Least-Square Criterion is presented.In the new algorithm sampled data by sensors are fitted by Spline function to get smooth curve for each,and the Spline function with minimal square sum of fitting error in the set of curves is taken as the resultant function.Against traditional cluster algorithm,effectiveness of the new algorithm is validated by computer simulation with Matlab.