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Single point positioning with sequential least-squares filter and estimated real-time stochastic model

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Geo-spatial Information Science

Abstract

To obtain higher accurate position estimates, the stochastic model is estimated by using residual of observations, hence, the stochastic model describes the noise and bias in measurements more realistically. By using GPS data and broadcast ephemeris, the numerical results indicating the accurate position estimates at sub-meter level are obtainable.

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Correspondence to Yun Wu.

Additional information

Supported by the National 863 Program of China (No.2006AA12Z325) and the National Natural Science Foundation of China (No.40274005).

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Wu, Y., Guo, J. Single point positioning with sequential least-squares filter and estimated real-time stochastic model. Geo-spat. Inf. Sci. 11, 13–16 (2008). https://doi.org/10.1007/s11806-007-0162-5

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  • DOI: https://doi.org/10.1007/s11806-007-0162-5

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