Abstract:

Aiming at the performance detection of fiber-optic gyroscope strapdown inertial navigation (FOG SINS) in a storage period, the stationary detection method based on prior information is put forward. In this method, a simplified error model of FOG SINS is built, zero velocity and heading information are uesd to detect the FOG SINS bias error based on Kalman filter, and the detected result is compared with the historic detection information. The bias errors of both three axis gyros and accelerometers can be detected by this method, which can simplify the testing process and shorten the detection flow. Simulation results verify the feasibleness and correctness of the proposed method.