摘要
该文考虑多源异构机会信号情况下的飞行器导航问题,提出一种新型扩张卡尔曼滤波融合导航方法。首先,针对5类典型的机会信号,构建机会信号测量值模型。然后,采用中心式交互结构,设计可自由增减导航机载模块的融合导航框架,具体包括3部分:局部机载设备的定位预报模块、局部机载设备的测量更新模块、中心融合计算模块。通过交互中心融合计算模块与局部机载设备的信息,迭代更新当前飞行器的位置预估值。进一步,给出所提出融合导航方法的误差分析结果,并且建立基于估计误差方差最小化的融合权重优化选取方案。
This paper considers the navigation of aircraft with multi-source heterogeneous opportunity signals,and proposes a new extended Kalman filter based fusion navigation method.Firstly,the measurement models of five typical types of opportunity signals are presented.Then,the fusion navigation framework is constructed by using a centralized interactive structure,which can expediently increase or decrease navigation airborne modules.The fusion navigation contains three parts:the position prediction module of local airborne equipment,the measurement based update module of local airborne equipment,and the central fusion calculation module.By fusing the information of the calculation module in interaction center and local airborne equipment,the estimated position of the current aircraft is iteratively updated.Furthermore,the error analysis results of the proposed fusion navigation method are presented,and the optimal selection of fusion weight based on minimizing the variance of estimation error is established.
作者
刘俊妧
陈渲文
张少莉
陈森
LIU Junyuan;CHEN Xuanwen;ZHANG Shaoli;CHEN Sen(Chinese Flight Test Establishment,Xi’an 710089,China;School of Mathematics and Statistics,Shaanxi Normal University,Xi’an 710119,China)
出处
《中国测试》
CAS
北大核心
2023年第12期94-100,共7页
China Measurement & Test
基金
国家自然科学基金资助项目(62003202)
陕西省科学技术协会青年人才托举计划项目(20230513)。
关键词
机会信号导航
扩张卡尔曼滤波
融合滤波
到达时间
到达角度
navigation via signal of opportunity
extended Kalman filter
fusion filtering
arrival of time
arrival of angle
