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首页> 外文期刊>Systems Engineering and Electronics, Journal of >Fault tolerant navigation method for satellite based on information fusion and unscented Kalman filter
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Fault tolerant navigation method for satellite based on information fusion and unscented Kalman filter

机译：基于信息融合和无味卡尔曼滤波的卫星容错导航方法

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摘要

An effective autonomous navigation system for the integration of star sensor, infrared horizon sensor, magnetometer, radar altimeter and ultraviolet sensor is developed. The requirements of the integrated navigation system manager make optimum use of the various navigation sensors and allow rapid fault detection, isolation and recovery. The normal full fusion feedback method of federated unscented Kalman filter (UKF) cannot meet the needs of it. So a no-reset feedback federated Kalman filter architecture is developed and used in the autonomous navigation system. The minimal skew sigma points are chosen to improve the calculation speed. Simulation results are presented to demonstrate the advantages of the algorithm. These advantages include improved failure detection and correction, improved computational efficiency, and reliability. Additionally, its' accuracy is higher than that of the full fusion feedback method.
机译：开发了一种有效的将星型传感器，红外水平传感器，磁力计，雷达高度计和紫外线传感器集成在一起的自主导航系统。集成导航系统管理器的要求可以最佳利用各种导航传感器，并可以快速进行故障检测，隔离和恢复。联合无味卡尔曼滤波器（UKF）的常规全融合反馈方法无法满足其需求。因此，开发了一种无复位反馈联邦卡尔曼滤波器架构，并将其用于自主导航系统。选择最小歪斜西格玛点以提高计算速度。仿真结果表明了该算法的优越性。这些优点包括改进的故障检测和纠正，改进的计算效率和可靠性。此外，它的准确性高于全融合反馈方法。

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