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Multiple Model Adaptive Rank Estimation for Integrated Navigation During Mars Entry

机译:火星进入过程中组合导航的多模型自适应秩估计

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Accurate navigation systems are required for future pinpoint Mars landing missions. A radio ranging augmented Inertial Measurement Unit (IMU) integrated navigation system concept is considered for the Mars entry navigation. The uncertain system parameters associated with the Three Degree-Of-Freedom (3-DOF) dynamic model, and the measurement systematic errors are considered. In order to improve entry navigation accuracy, this paper presents the Multiple Model Adaptive Rank Estimation (MMARE) filter of radio beacons/IMU integrated navigation system. 3-DOF simulation results show that the performances of the proposed navigation filter method, 70.39m estimated altitude error and 15.74 m/s estimated velocity error, fulfill the need of future pinpoint Mars landing missions.
机译:未来的精确火星登陆任务需要精确的导航系统。对于火星进入导航,考虑了无线电测距增强惯性测量单元(IMU)集成导航系统概念。考虑了与三自由度(3-DOF)动力学模型相关的不确定系统参数以及测量系统误差。为了提高入口导航的准确性,本文提出了无线电信标/ IMU集成导航系统的多模型自适应秩估计(MMARE)滤波器。三自由度仿真结果表明,所提出的导航滤波方法的性能,估计的高度误差为70.39m和估计的速度误差为15.74m / s,可以满足未来精确定位火星登陆任务的需求。

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