Observability Analysis and Optimization of Cooperative Navigation System With a Low-Cost Inertial Sensor Array

被引:9
作者
Shen, Kai [1 ,2 ]
Zuo, Jianwen [1 ,2 ]
Li, Yuelun [1 ,2 ]
Zuo, Siqi [1 ,2 ]
Guo, Wenjun [1 ,2 ]
机构
[1] Beijing Inst Technol, Minist Educ, Engn Res Ctr Nav Guidance & Control Technol, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Navigation; Modulation; Observability; Inertial sensors; Rotation measurement; Measurement uncertainty; Sensor arrays; Cooperative navigation; global navigation satellite system (GNSS)-denied environment; inertial navigation system (INS); observability analysis; rotation modulation; PLATFORM; SIGNALS; GNSS;
D O I
10.1109/JIOT.2023.3235524
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Low-cost inertial measurement unit (IMU) is gradually applied for providing reliable positioning and navigation information in the area of Internet of Things (IoT) applications recently. However, the accuracy of IMU is highly influenced by inertial sensor errors in global navigation satellite system-denied and indoor navigation environment. In order to improve the accuracy and robustness of IMU, rotation modulation and cooperative navigation techniques can serve as effective ways for indoor and outdoor seamless navigation and positioning. In this article, we propose a cooperative navigation system with a low-cost inertial sensor array composed of four IMUs. For optimizing the configuration and information processing of this system, observability analysis is carried out based on the concept of the Degree of Observability (DoO). Furthermore, a criterion for calculating the DoO is formulated to simplify the observability analysis of rotational IMUs. According to the simulation experiments of unmanned vehicle at low, medium, and high driving speeds, the IMU rotation technique can improve the observability of inertial sensor errors and thus increase the accuracy of orientation, while the cooperative navigation technique can highly improve the accuracy of positioning.
引用
收藏
页码:9863 / 9877
页数:15
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