Low-Cost Antenna Attitude Estimation by Fusing Inertial Sensing and Two-Antenna GPS for Vehicle-Mounted Satcom-on-the-Move

被引:54
|
作者
Wu, Zongwei [1 ]
Yao, Minli [1 ]
Ma, Hongguang [1 ]
Jia, Weimin [1 ]
Tian, Fanghao [1 ]
机构
[1] Xian Res Inst High Technol, Xian 710025, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive Kalman filter; attitude estimation; Global Positioning System (GPS); inertial measurement unit (IMU); satellite communication (satcom) system; sensor fusion; KALMAN FILTER; ORIENTATION; DESIGN;
D O I
10.1109/TVT.2012.2229306
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
In this paper, we develop a low-cost method to determine the vehicle attitude for vehicle-mounted satellite-communication (satcom)-on-the-move (SOTM) using a micro inertial measurement unit (MIMU) and a two-antenna global positioning system (GPS). An adaptive Euler-angle-based unscented Kalman filter (UKF) is utilized to fuse these sensors to guard against the effects induced by GPS outages and vehicle accelerations. When the two-antenna GPS can provide the vehicle yaw angle, the vehicle accelerations that introduce large errors to the accelerometer-measured gravitational acceleration can be corrected by the GPS-measured velocity and sideslip angle. When the two-antenna GPS fails to provide the yaw angle and needed information, the yaw angle is estimated only by integrating gyroscopes. The estimation of the pitch and roll angles is adaptively controlled by the vehicle acceleration detection rules. These rules make full use of the gyroscope output and the filtering results, which are more compatible with vehicle use than conventional accelerometer norm-based rule. The proposed method is verified with driving tests, suggesting that this technique is a viable candidate for low-cost SOTM.
引用
收藏
页码:1084 / 1096
页数:13
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