Error analysis of pseudo single point position date range on account of kailman filtering

GPS with a global, all-weather, continuous real-time three-dimensional navigation and positioning capabilities, has a broad application value and development potential. GPS receiver with C / A code has advantage of cheap, small, easy to carry, from the results of position by C / A code GPS receiver outputting, researching the C / A code GPS receiver static positioning accuracy, has important practical value.. Kalman filtering is a linear unbiased minimum variance estimation theory pushdown obtained a recursive filtering method, which introduces the concept of the state space, using the system state transition equation of state of the previous one moment of valuation and the current moment observed value estimated that the new state of Recursive valuation. Experiments show that the Kalman filter introduced into the positioning data as a post-processing tool, which greatly improves the positioning accuracy.