A Weighted Model for Improving the Positioning Accuracy

The accuracy of global positioning system (GPS) based point determination in urban environment is mainly corrupted by multipath and signal diffraction. The measured carrier-to-noise-power-density ratio (C/N0) has proven to be an excellent tool for the estimation of the random errors of the observables. A weight model is proposed in order to scale the positioning accuracy. The influence of parameters in the model to positioning accuracy is carefully analyzed. Then these parameters are determined. As compared to the positioning solution without weight, the positioning accuracy increases by 9.85%, and 2.36% to SIGMA model.