SAR/INS/TAN组合导航系统中的滤波算法研究

多传感器组合是提高导航系统定位精度和增强系统容错性的有效手段。在分析惯性导航系统(INS)、合成孔径雷达(SAR)和地形辅助导航系统(TAN)各自特点的基础上,提出了SAR/INS/TAN组合导航系统的组合滤波方案并建立了相应的组合导航系统数学模型。同时,针对图像匹配和TAN所固有的非等间隔量测输出滞后的特点,研究了一种多传感器信息融合的卡尔曼滤波算法,以有效解决此类非等间隔量测滞后的问题。仿真分析可见,该组合滤波算法能大大提高导航精度,是一种行之有效的方法。

Study of filtering algorithm for SAR/INS/TAN integrated navigation systems

Multi sensor combination is designed to improve the accuracy and fault tolerance of the navigation system.According to the respective characteristics of INS,SAR and TAN system,an integrated filtering scheme of SAR/INS/TAN integrated navigation system is proposed,and the corresponding mathematic model is built.Furthermore,based on the analysis of in coordinate interval and delay characteristics of image matching position and TAN measurement output,a filtering algorithm for multi sensor information fusion is presented to solve the problem of incoordinate interval measurement.The simulation results prove the effectiveness of the presented algorithm to improve the navigation accuracy.