多传感器多模型多尺度组合导航系统算法

Multi-Sensor Integrated Navigation System Algorithm Based on Multi-Model and Multi-Scale

摘要:

多传感器组合导航系统是组合导航发展的方向之一。针对复杂环境,多模型自适应算法可以较好地解决模型及参数不确定的问题；而多尺度融合算法将基于模型的动态系统分析与具有统计特性的多尺度信号变换方法相结合,可有效提高系统的滤波精度。为此,文章将多模型估计与多尺度滤波算法相结合构成多模型多尺度滤波算法,该算法用于多组合导航系统后,经仿真验证,相对于多模型或单模型多尺度滤波算法,系统的滤波精度明显提高。

Abstract:

The multi-sensor integrated navigation system is one of the developing directions of integrated naviga. tion. Aiming at the complex environment, the multi-model adaptive algorithm can solve the problem of model and parameter uncertainty, and the multi-scale fusion algorithm which combines the dynamic system analysis method based on model with multi-scale signal transformation method having statistical characteristics can effec. tively increase system’s filtering precision. Thus, in this paper, multi-model estimation was combined with multi-scale filtering method to form multi-model and multi-scale filtering method. After this method was used to multi-sensor integrated navigation system, the simulated results showed that this method could increase system filtering precision more than multi-model algorithm and single-model multi-scale filtering method.