摘要
一般的GPS选星方法通过搜索选取使几何精度衰减因子最小的4颗卫星,对于高动态应用特别是在水平姿态角较大的情况下,传统的选星方法存在许多局限性。针对低成本的MEMS-IMU/GPS组合导航系统,提出了基于MEMS-IMU辅助的GPS选星方法;针对高动态载体姿态变化较大的问题,采用MEMS-IMU输出的高速率姿态信息压缩卫星搜索范围,通过选取不超过6颗可见卫星来降低几何精度衰减因子,从而提高定位性能。使用半实物仿真数据,验证了所提出的方法。测试结果表明,与传统的选星方法相比,基于MEMS-IMU辅助的GPS选星方法在飞机高动态大机动条件下,优化了卫星星座,具有精度高、计算量低、可靠性高等优点。
Traditional GPS satellite selection algorithm uses only 4 satellites with minimal Geometric Dilution of Precision （GDOP） and doesn＇t work well in high dynamic conditions. In view of the application of low-cost MEMS-IMU/GPS integrated navigation system, a MEMS-IMU aided GPS satellite selection algorithm is proposed. To overcome the fast changing of level attitude, the high rate attitude information output by MEMS-IMU was used to compress satellite＇s searching range. By selecting less than 6 visible satellites （not only 4 satellites normally） to decrease the GDOP value and improve the positioning accuracy. The hardware-in-the-loop simulation was made which verifies that the new algorithm can optimize satellite selection and improve performance of navigation system under high dynamic condition.
出处
《中国惯性技术学报》
EI
CSCD
2007年第6期716-720,共5页
Journal of Chinese Inertial Technology
基金
国家863计划资助(2006AA12Z319)
高等学校博士学科点专项科研基金资助(20069998009)
