Accurate Attitude Determination Based on Adaptive UKF and RBF Neural Network Using Fusion Methodology for Micro-IMU Applied to Rotating Environment

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Axis</td><td class="align_center" colspan="2">Gyro deterministic error in indoor temperature</td></tr><tr class="thead"><td class="align_center">Biases (°/s, g, Gauss)</td><td class="align_center">Scale factor</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Gyro x</td><td class="align_center">−2.0511</td><td class="align_center">0.9976</td></tr><tr><td class="align_left">Gyro y</td><td class="align_center">−2.5848</td><td class="align_center">1.0033</td></tr><tr><td class="align_left">Gyro z</td><td class="align_center">−0.0043</td><td class="align_center">1.0021</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Deterministic errors for MEMS gyro.</div>

Mathematical Problems in Engineering

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Table 1

Table 1: Accurate Attitude Determination Based on Adaptive UKF and RBF Neural Network Using Fusion Methodology for Micro-IMU Applied to Rotating Environment 

Table 1 | Accurate Attitude Determination Based on Adaptive UKF and RBF Neural Network Using Fusion Methodology for Micro-IMU Applied to Rotating Environment 