基于测角测距信息火星环绕器导航方法

针对传统的基于天文角度信息的导航方法用于火星环绕器导航应用中存在导航源可见弧段连续性差,导航精度较低等问题,提出了一种适用于火星环绕器组合导航的联邦自适应UKF改进算法。通过引入新的测距导航源,充分利用测角敏感器获得的火卫一和火卫二相对于环绕器的视线矢量信息以及测距敏感器获得的环绕器相对于其它火星在轨航天器的距离信息,运用UKF对环绕器状态进行估计,引入Sage-Husa噪声估计器,抑制非高斯噪声对导航精度的影响,达到提高导航精度的目的。仿真结果表明了所提出的适用于火星环绕器组合导航的联邦自适应UKF改进算法的有效性,火星环绕段导航位置估计精度优于0.4km,速度估计精度优于0.5m/s,相对于传统的天文测角导航,性能提升50%。

Navigation Algorithm for the Mars Orbiter Via Angle and Range Measurement Information

This paper proposes an improved federated adaptive UKF algorithm to overcome the shortcomings(poor continuity of navigation source visible arcs and low navigation accuracy)of traditional Mars obiter autonomous navigation based on astronomical angle measurement information.By bringing in a new range measurement navigation source,the algorithm makes full use of the line-of-sight vector information of Phobos and Deimos relative to orbiter obtained by angle measurement sensor and the distance information of the orbiter relative to other Mars orbiting spacecrafts obtained by range measurement sensor.UKF is used to estimate the state of the orbiter.In order to improve navigation accuracy,Sage-Husa noise estimator is introduced to suppress the influence of non-Gaussian noise.Simulation results show the effectiveness of the proposed federated adaptive UKF algorithm.Position estimation precision is better than 0.4 km and velocity estimation precision is better than 0.5 m/s.Compared with the traditional astronomical angle measurement navigation,the performance is improved by 50 percent.