2006Gnss World of ChinaRequires access

Experiment and Analysis of Mitigation of Pseudolite Multipath Bias

Wengang Sang

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Abstract

GPS augmentation with pseudolites positioning can compensate some shortages of only GPS positioning,such as the limitations of GPS satellite geometry,but integration of GPS and pseudolites measurements introduces some new errors.Multipath bias of pseudolite positioning are presented.According to the mechanism and features of multipath effect,the weight function of robust least square estimation is derived,based on classical least square estimation theory.The new weight function is employed to mitigate pseudolite multipath bias of actual observation data.The result shows that the new weight function is a valid for the mitigation of pseudolite multipath bias.

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What this paper is about

GPS augmentation with pseudolites positioning can compensate some shortages of only GPS positioning,such as the limitations of GPS satellite geometry,but integration of GPS and pseudolites measurements introduces some new errors.Multipath bias of pseudolite positioning are presented.According to the mechanism and features of multipath effect,the weight function of robust least square estimation is derived,based on classical least square estimation theory.The new weight function is employed to mitigate pseudolite multipath bias of actual observation data.The result shows that the new weight function is a valid for the mitigation of pseudolite multipath bias.

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Available abstract

GPS augmentation with pseudolites positioning can compensate some shortages of only GPS positioning,such as the limitations of GPS satellite geometry,but integration of GPS and pseudolites measurements introduces some new errors.Multipath bias of pseudolite positioning are presented.According to the mechanism and features of multipath effect,the weight function of robust least square estimation is derived,based on classical least square estimation theory.The new weight function is employed to mitigate pseudolite multipath bias of actual observation data.The result shows that the new weight function is a valid for the mitigation of pseudolite multipath bias.

Key concepts: Multipath mitigation, Global Positioning System, Multipath propagation, Computer science, Economic shortage, Delay spread, Remote sensing, Function (biology)

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