Nanosatellite attitude estimation using Kalman-type filters with non-Gaussian noise

Keyphrases

• Nanosatellite 100%
• Attitude Estimation 100%
• Kalman 100%
• Non-Gaussian Noise 100%
• Sensor Noise 50%
• Steady State 25%
• Operation Mode 25%
• High-frequency Noise 25%
• Nonlinearity 25%
• Unscented Kalman Filter 25%
• Magnetometer Sensor 25%
• Sun Sensor 25%
• Estimation Accuracy 25%
• Sensor Measurement 25%
• Error Sources 25%
• Computational Speed 25%
• Three-axis Magnetometer 25%
• Filtering Response 25%
• Best Combination 25%
• Gaussian Noise 25%
• Gaussian Distribution 25%
• Magnetometer Noise 25%
• Heavy-tailed Noise 25%
• Student-t Distribution 25%
• Time Series Estimation 25%
• State Recovery 25%
• Filtering Algorithm 25%
• Type Filtering 25%

Engineering

• Non-Gaussian Noise 100%
• Filter Type 100%
• Nanosatellites 100%
• Sensor Noise 66%
• Operation Mode 33%
• Kalman Filter 33%
• Filtering Algorithm 33%
• Sensor Measurement 33%
• Error Source 33%
• Gaussians 33%
• Initial State 33%
• Gaussian White Noise 33%
• Heavy Tailed Noise 33%
• Noise Level 33%
• Nonlinearity 33%

Physics

• Steady State 100%
• Solar Sensor 100%
• Gaussian Distribution 100%
• Random Noise 100%
• Non-Gaussian Noise 100%