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Underwater Hybrid Navigation Algorithm Based on an Inertial Sensor and a Doppler Velocity Log Using an Indirect Feedback Kalman Filter  

이종무 (한국해양연구원 해양시스템안전연구소)
이판묵 (한국해양연구원 해양시스템안전연구소)
성우제 (서울대학교 조선해양공학과)
Publication Information
Journal of Ocean Engineering and Technology / v.17, no.6, 2003 , pp. 83-90 More about this Journal
Abstract
This paper presents an underwater hybrid navigation system for a semi-autonomous underwater vehicle (SAUV). The navigation system consists of an inertial measurement unit (IMU), and a Doppler velocity log (DVL), accompanied by a magnetic compass. The errors of inertial measurement units increase with time, due to the bias errors of gyros and accelerometers. A navigational system model is derived, to include the scale effect and bias errors of the DVL, of which the state equation composed of the navigation states and sensor parameters is 20. The conventional extended Kalman filter was used to propagate the error covariance, update the measurement errors, and correct the state equation when the measurements are available. Simulation was performed with the 6-d.o,f equations of motion of SAUV, using a lawn-mowing survey mode. The hybrid underwater navigation system shows good tracking performance, by updating the error covariance and correcting the system's states with the measurement errors from a DVL, a magnetic compass, and a depth sensor. The error of the estimated position still slowly drifts in the horizontal plane, about 3.5m for 500 seconds, which could be eliminated with the help of additional USBL information.
Keywords
Hybrid Navigation System; Indirect Feedback Kalman Filter; Inertial Navigation; Doppler Velocity Log; Inertial Measurement Unit;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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