多平台传感器系统配准误差研究

Research on the Sensor Registration Errors on the Multiple Platforms

针对多传感器数据融合中的传感器系统配准问题,基于扩展卡尔曼滤波原理,推导了直角坐标系下的多传感器系统配准误差滤波算法,通过仿真计算表明,该算法计算量小,可有效滤波传感器系统配准过程中的误差,对保证后续的数据融合准确性具有重要意义。

To resolve the problem of the sensors registration in the multiple platform data fusion, the filtering algorithm of the multiple sensors registration errors in the cartesian coordinate system has been presented based on the principle of the extended kalman filter. The simulation results show that the algorithm has improves the filter convergence rate and accuracy, and it is important for enhancing the data fusion performance.