Journal of Shanghai University(Natural Science Edition)

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A GPS/Gyro Attitude Fusion Algorithm for Marine Application

SHA Xiao-ping,CHEN Hui-min,BAO Min-qi,HAN Yi-xin   

  1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
  • Received:2006-10-31 Revised:1900-01-01 Online:2008-02-28 Published:2008-02-28
  • Contact: CHEN Hui-min

Abstract: This paper introduces a GPS/single gyro yaw value fusion algorithm for marine application. It first introduces the Runge-Kutta method to estimate the yaw value according to the angular velocity output of gyro. When the GPS signal is output, Kalman filtering is used to estimate yaw value error and bias of gyro to give the accurate value. Simulation results indicate that, by using the fusion algorithm, the final yaw value error is within ±1°. The output is very smooth, indicating that the algorithm is sound and effective.

Key words: Kalman filtering, yaw, GPS/single gyro

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