重庆邮电大学学报（自然科学版）2016，Vol.28Issue(6)：804-809,6.DOI:10.3979/j.issn.1673-825X.2016.06.009
基于MEMS辅助的单基线北斗融合测姿算法
Single baseline Beidou fusion attitude determination algorithm based on MEMS inertial sensors
摘要
Abstract
The attitude information of a platform is an important parameter for modern navigation.With the development and improvement of the Beidou navigation satellite system (BDS )and micro-electro-mechanical systems (MEMS )inertial sensor,high-precision,low-cost and independent fusion attitude determination technology has broad application prospects. Based on this,a single baseline Beidou fusion attitude determination algorithm aided by MEMS Inertial sensors has been proposed to solve the real-time attitude determination problem.Firstly,using the MEMS attitude information deduce the range of baseline vector in order to aide ambiguity function method (AFM),the success rate of fast ambiguity solution is increased.Secondly the BDS attitude is taken as the observation information to eliminate the MEMS gyroscope drift during long-time attitude measurement.The results of simulation test experiments on measured data demonstrate the algorithm can solve ambiguity resolution problem when the signal is unlock and can offer high precision attitude information under complex circumstance.关键词
北斗卫星导航系统/微机电系统(BDS/MEMS)测姿/整周模糊度/模糊度函数法/扩展卡尔曼滤波器Key words
Beidou navigation satellite system/micro-electro-mechanical systems(BDS/MEMS)attitude determination/am-biguity resolution/ambiguity function method/extended Kalman filter分类
信息技术与安全科学引用本文复制引用
蒋青,刁春帆,田增山,周牧..基于MEMS辅助的单基线北斗融合测姿算法[J].重庆邮电大学学报（自然科学版）,2016,28(6):804-809,6.基金项目
国家自然科学基金（61471077）Foundation ItemThe National Natural Science Foundation of China （）
