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Multi-Sensor Personal Navigator : System Design and Calibration
Dorota A. Grejner-Brzezinska, Charles K. Toth, Yoonseok Jwa, Shahram Moafipoor, Jay Hyoun Kwon 서울시립대학교 도시과학연구원 2006 International journal of urban sciences (IJUS) Vol. No.
This paper presents the current design status and some preliminary calibration/performance analyses of the prototype of a multi-sensor personal navigator currently under development at The Ohio State University. The main purpose of this research project is to develop a theoretical foundation and algorithms which integrate the Global Positioning System (GPS), Micro-electro-mechanical inertial measurement unit (MEMS IMU), barometer and compass to provide seamless position information to support navigation and tracking of ground military and rescue personnel. The system is designed with an open-ended architecture, which would be able to incorporate additional navigation and imaging sensor data, extending the system’s operations to the indoor environments. The current target accuracy of the system is at 3-5 m CEP (circular error probable). In the current prototype implementation, the following sensors are integrated in the tightly coupled Extended Kalman Filter (EKF): GPS carrier phase and pseudorange data, Crossbow MEMS IMU400C, PTB220A barometer, and KVH Azimuth 1000 digital compass. This paper focuses on the design architecture of the integrated system and the preliminary performance analysis, with a special emphasis on the navigation during the loss of GPS signal. A brief description of the individual sensors and their calibration is presented, together with the navigation performance of the system of sensors. In addition, the system’s architecture designed to incorporate a simplified dynamic model of human locomotion is introduced. The system is trained during the GPS signal reception and is subsequently used to support navigation under no GPS signal. The stride parameters (step frequency and length), extracted from GPS data and the timed impact switches during the system calibration period, and the heading information from the compass and the IMU support the dead reckoning navigation, during the gaps in GPS signals. Some information included here is also presented in (Grejner-Brzezinska et al., 2006).