Satellite orbit data estimation and correction method

Abstract

The invention relates to the field of satellite time service and satellite navigation, in particular to a method for estimating and correcting orbit data received by satellite user equipment. The method comprises the following steps of: estimating the orbit data through an improved Chebyshev estimation method; calculating n-step Chebyshev polynomial coefficients through the received orbit data according to a least square method principle; calculating to obtain an orbit coordinate estimated value at an to-be-estimated moment through a Chebyshev fitting formula by utilizing the obtained n-step Chebyshev polynomial coefficients; and filtering the obtained orbit coordinate estimated value through an improved fuzzy adaptive Kalman filtering method. The invention provides the satellite orbit data estimation and correction method with good robustness, strong outlier interference resistance, small estimation error, good continuity and adaptability ofto real-time operation, so that the problem of faults in timing and locating caused by discontinuity and inaccuracy of estimation of a data orbit in practical application of a satellite time service and satellite navigation system is solved.

Description

technical field [0001] The invention relates to the fields of satellite timing and satellite navigation, in particular to a method for estimating and correcting orbit data received by satellite user equipment. Background technique [0002] By receiving and analyzing the GPS satellite ephemeris and Beidou satellite ephemeris, the satellite orbit data can be obtained, and the pseudo-range between the satellite and the user can be obtained through a series of calculations, and then the timing information and positioning can be obtained through a series of algorithm operations Information, if the satellite orbit data is discontinuous and incomplete due to various errors and interferences, it will affect the accuracy of the pseudo-range and thus affect the accuracy of timing and positioning. [0003] At present, the least squares recursive algorithm and the Kalman prediction algorithm are commonly used algorithms for predicting satellite orbit data. The continuity of prediction ...

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Problems solved by technology

[0004] In order to overcome the shortcomings of the above-mentioned commonly used algorithms, the present invention uses the improved Chebyshev prediction algorithm for prediction, and then uses the improved fuzzy adaptive Kalman filter algorithm to filter and correct the prediction value, providing a robust Good, strong anti-outlier interference ability, small prediction error and good continuity, suitable for real-time calculation of satellite orbit data prediction and correction methods, to solve the problem of discontinuous and estimated data orbits in the actual application of satellite timing and satellite navigation systems Timing and positioning errors caused by inaccuracy

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