The Application Of Kalman Filting Method In Autonomous Navigation Method For Mars Landing

With the development of space technologies, exploration which people develop to space and on other planets in our solar system is gradually increasing, among all these exploration,which is launch to other planets in the solar system has attracted more attention. Among all planets in our solar system, Mars can be said that the most similar planet to Earth. So it can be said that Mars exploration program has been a very important part of human exploration among the whole plan of the solar system exploration.In order to gain more ponderable scientific data, current scientific research desperately needs precise landing on the complex areas that have rich landscape. The purpose of this paper is to research the navigation schemes for Mars entry ans dicline of the precision landing missions. Firstly, according to different characteristics of the atmospheric entry section and power down section, the paper simplifies the dynamic model of each stage and gives the danamic model and equation of state for navigation scheme analysis and design. Secondly, according to the characteristics of the atmosphere and the analysis of existing technical conditions, the paper establishes a navigation scheme from measurement data of inertial navigation system and measurement data of satellite navigation system as external view measurement. Then, according to the characteristics of the power down section and the measurement principle of the sensor, the paper established the observation equation and designs the navigation filter and scheme. Finally, the paper establishes three kinds of navigation schemes for the atmospheric entry section, uses UKF Calman filter to design the filter, makes the mathematical simulation of the navigation scheme model and compares three kinds of navigation scheme to find which kind of navigation scheme can m eet the accuracy requirements. According to the characterics of the power down section, uses the EKF Calman filter to verify the accuracy of the navigation scheme to reach the accuracy requirements of the Mars probe.