GPS/Cellular Network Hybrid Positioning Method Based on Two Scatter Model

Cellular network has low accuracy and GPS in complex environment has insufficient information, aiming at the irresistible detects in respective positioning system, present combined positioning method based on the GPS and cellular network, to improve the availability of the positioning, and improve the positioning accuracy. And the main factor of current effect on GPS / cellular hybrid positioning is non-line-of-sight propagation ( NLOS ). In this paper, based on the two scatter model inhibition of NLOS propagation effect, the idea is to transformed the NLOS error into a deterministic model factors, so the precision is mainly depends on the orientation of the measuring accuracy of the parameters and unrelated to non direct wave caused by parameter deviation, take scatter as a virtual base station, inhibition of cellular NLOS error, and auxiliary GPS positioning, to improve the dilution of position ( DOP ), namely in the GPS blind auxiliary positioning, further improving GPS / cellular hybrid positioning accuracy. Through the static, movement, ROS model, Gauss noise propagation environment, and use of error cumulative density function and RMSE to evaluate algorithm for hybrid positioning in this paper, the result has higher accuracy and stronger robustness.