Research of Polarization Sensor and MEMS Integrated Navigation System Technology

被引：0
|
作者：
Liu Kai [1 ]
Li Leilei [1 ]
Chen Jiabin [1 ]
Liu Huiya [1 ]
机构：
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
来源：
2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2014年
关键词：
Polarization Navigation; MEMS; Kalman Filter; Initial Alignment; IIR Low-pass Filter;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
MEMS have been the hotspot in inertial measurements applications recently, due to their advantages of low-cost, high reliability, micro size, etc. But MEMS cannot be used in initial alignment alone because of its drift and noise. Since polarization navigation sensor's errors are not divergent, it can restrain divergence if polarization navigation sensor and MEMS become integrated navigation system. This paper verifies that the data of polarization navigation sensor are not divergent, and use the yaw angle provided by polarization navigation sensor to accomplish initial alignment. The results also show that polarization navigation sensor can restrain drift generated by MEMS. Finally, the drift of velocity can be effectively suppressed through the compensation of kalman filter.
引用
收藏
页码：895 / 899
页数：5
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