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- W2387379095 abstract "The location of space-based pseudolite exists offset because of its own mobility and influence of external factors,such as flow,pressure,temperature,etc.Therefore,to accurately determine the location of space-based pseudolite is a premise for enhancement of the existing navigation system or formation of an independent navigation and positioning network.Aiming to Extended-Kalman filter requiring the initial value and the least squares method good at estimation,this paper puts forward a blending algorithm.In this blending algorithm,the algorithm uses the reverse positioning theory to establish pseudorange observation equations,then the least squares method is used to calculate the initial value,and the space-based pseudolite is positioned by using Extended-Kalman filter.The simulation results show that the blending algorithm is better than the least squares method,and the positioning accuracy has been improved." @default.
- W2387379095 created "2016-06-24" @default.
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- W2387379095 date "2012-01-01" @default.
- W2387379095 modified "2023-09-27" @default.
- W2387379095 title "Pseudolite positioning algorithm based on least squares and EKF" @default.
- W2387379095 hasPublicationYear "2012" @default.
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