CAJ | 학술논문

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.
다전감기조합도항계통시조합도항발전적방향지일.침대복잡배경,다모형자괄응산법가이교호지해결모형급삼수불학정적문제;이다척도융합산법장기우모형적동태계통분석여구유통계특성적다척도신호변환방법상결합,가유효제고계통적려파정도.위차,문장장다모형고계여다척도려파산법상결합구성다모형다척도려파산법,해산법용우다조합도항계통후,경방진험증,상대우다모형혹단모형다척도려파산법,계통적려파정도명현제고.
@@@@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.