基于交互式多模型的飞机编队相对导航算法研究  

Study on Relative Navigation System in Aircraft Formation Flying Based on Interacting Multiple Model Algorithm

作　　者：吉波[1] 谭震 樊建文 巩莉雯[4] 

机构地区：[1]西北工业大学航天学院 [2]空军驻西北地区代表室 [3]西安导航技术研究所 [4]中国人民解放军94188部队

出　　处：《航空计算技术》2014年第2期81-86,共6页Aeronautical Computing Technique

摘　　要：在飞机编队飞行时,成员间的相对位置信息是实现系统协同作战的重要保证,为了提高机群编队飞行的相对导航定位精度,在无地面基准的机群编队飞行JTIDS/GPS/TACAN/IFDL组合的相对导航系统中,采用交互式多模型扩展卡尔曼滤波(IMM-EKF)算法,设计实现了多传感器相对导航系统,克服了飞机动态模型参数变化导致使用单一动态模型滤波精度下降的问题。仿真分析结果表明,交互式多模型算法可以提高相对导航系统的定位精度和可靠性,特别在GPS可见卫星很少的情况下,依然能够具有良好的定位性能。The information of relative position between the members is an important guarantee to realize the system coordinated operations in aircraft formation flying .In order to improve the relative navigation positioning accuracy , this paper discusses JTIDS/GPS/TACAN/IFDL integrated navigation system with-out geographical position reference for aircraft formation flying .Interacting multiple model Extended Kal-man Filter （ IMM-EKF） is proposed to realize multi-sensor integrated relative navigation system , which can overcome the problem of descending filtering precision of filter with single fixed parameter .The simu-lation result shows that IMM-EKF method can improve the positioning accuracy and reliability in relative navigation system , and it still be able to perform well specially in the case of few visible GPS satellites .

关 键 词：相对导航 组合导航 交互式多模型 卡尔曼滤波 

分 类 号：V249.3[航空宇航科学与技术—飞行器设计]