一种新的地心地固坐标系传感器配准算法

针对多传感器系统进行数据融合的需要,提出了一种新的地心地固坐标系下传感器的配准算法,充分考虑了地球曲率对配准算法本身的影响,当传感器之间相距很远时仍然适用。新算法将传感器配准问题表述成一个关于传感器测量的最小二乘判决函数,然后首次引入Levenberg-Marquarat算法来对其进行优化。最后通过仿真试验对新算法的性能进行了评估,结果说明新的算法对于不同数目的测量值具有良好的一致性。

New registration algorithm of sensor in earth-centered earth(-F)ixed (ECEF) coordinate system

Registration is the necessary process of data fusion of multiple sensor system.A new registration algorithm is presented to correct the systematic error of Earth-centered Earth-fixed(ECEF) coordinate system.It improves the estimation performance by considering the effect of surface ratio of the earth on the registration algorithm,and is still effective when the distance between the different sensors is far away.Sensor registration problem is expressed as an averaged least-squares(LS) criterion function with regard to sensor measurements,and then the criterion function is optimized by Levenberg-Marquarat algorithm.Finally,simulation results show that the new registration algorithm is consistency for different number of measurements.