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A gyroscope-free inertial measurement system(GFIMS) uses only accelerometers to measure angular velocity and specific force. It is a low-cost inertial measurement system. But the value of angular velocity is computed by the outputs of accelerometers, its accuracy is lower than that of a conventional inertial measurement system equipped with gyroscopes. So it is very necessary to research on high accuracy...
When the plant of an integrated SINS/GPS navigation system dynamics or noise processes are not exactly known, or the noise processes are not zero mean white noise, divergence problems will occur. In this paper, a based on intelligent information fusion technology -fuzzy neural network adaptive system is used to adjust the exponential weighting of a weighted Kalman filtering and prevent it from divergence...
Conventional strapdown inertial navigation system is usually measured angular velocity with gyroscope and acceleration measuring a force signal with accelerometer for the initial alignment. GFSINS uses accelerometers that use the output from the ratio of force to solve the angular velocity instead of gyroscopes for the initial alignment. Based on a nine-accelerometer configuration and use of logarithmic...
For the robot location in indoor environment, first we give the encoder dead reckoning theory and algorithms, then in order to resolve the accumulated error problem caused by long-distance navigation in a single sensor, we use ultrasonic sensor together with the dead reckoning technology at the precondition of long distance and signpost. Then we use Kalman filter algorithm to amalgamate the data,...
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