Autonomous satellite navigation using the stellar horizon atmospheric dispersion sensor

Computer Science – Performance

Scientific paper

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Atmospheric Effects, Attitude Indicators, Error Analysis, Instrument Errors, Kalman Filters, Satellite Navigation Systems, Computerized Simulation, Horizon Scanners, Linear Filters, Performance Prediction, Position Errors, Remote Sensors

Scientific paper

A linear error covariance analysis is performed for a satellite borne stellar horizon atmospheric dispersion (SHAD) sensor for the purpose of evaluating the feasibility of autonomous satellite orbit determination. The sensor's effectiveness increases as the satellite's orbit altitude decreases. However the unmodelable errors of the earth atmosphere limit the sensor's ultimate precision as a navigational instrument. Because of the atmospheric errors, the positional errors are amplified. Although less measurement precision is required for lower altitudes, the atmospheric effects are more severe. In order to achieve positional accuracies of less than 200 meters atmospheric errors need to be limited to less than 1 percent.

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