Transactions of Nanjing University of Aeronautics & Astronautics
Two-Step Iterative Optimization of Satellite Selection Algorithm Based on PDOP Contribution
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Abstract:
Global navigation satellite system （GNSS） is an important navigation sensor for the required navigation performance （RNP） operation. The positioning accuracy of GNSS determines whether the civil aircraft can meet the RNP flight requirements. Due to the limited computing power of airborne receivers， the calculation delay may reduce the positioning accuracy. To meet the high precision requirements， this error caused by calculation delay can no longer be ignored. This paper proposes a two-step iterative optimization of satellite selection algorithm based on the position dilution of precision （PDOP） contribution. It can effectively reduce the calculation delay and improve the positioning accuracy under the RNP operation. The simulation shows that the method has better real-time performance than the traditional algorithm， which is of great significance for ensuring the flight safety of civil aircraft.
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This work was supported by the National Key Research and Development Program of China （No. 2022YFB3904300） and Joint Funds of the National Natural Science Foundation of China （No. U2233215）.
Clc Number:
TN925
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