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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。
Multi-sensor integrated navigation system is one of the directions of the development of integrated navigation. For complex environment, the multi-model adaptive algorithm can solve the problem of uncertain models and parameters well; and the multi-scale fusion algorithm can effectively improve the combination of model-based dynamic system analysis and multi-scale signal transformation with statistical properties System filtering accuracy. To this end, the article combines multi-model estimation and multi-scale filtering algorithm to form a multi-model multi-scale filtering algorithm. After the algorithm is applied to multi-integrated navigation system, the simulation results show that, compared with multi-model or single model multi-scale filtering algorithm, The filtering accuracy is significantly improved.