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A robust position estimation algorithm for low-cost INS/GPS integrated navigation system

机译:低成本INS / GPS组合导航系统的鲁棒位置估计算法

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When global navigation satellite system (GNSS) is interfered by electronic jamming or obstacles around, there may be outliers in GNSS measured values which will reduce the accuracy of the position estimation and degrade the flight control quality. In order to solve this problem, a robust position estimation algorithm with the ability of restraining the interference of outliers is proposed in this paper. The conception of variation of the observation is introduced in this paper to be the judgment of the outliers' identification. Meanwhile, the weight factors based on the variation of the observation is introduced to adjust the weight of the abnormal observations in real time. The proposed method is proved by simulations and experimental studies. The results show that this method can provide a stable and reliable position information and improve the flight control quality.
机译:当全球导航卫星系统(GNSS)受到电子干扰或周围的障碍物的干扰时,GNSS测量值中可能会有异常值,这将降低位置估计的准确性并降低飞行控制质量。为了解决这个问题,本文提出了一种鲁棒的位置估计算法,该算法能够抑制离群值的干扰。本文介绍了观测值变化的概念,作为对异常值识别的判断。同时,引入基于观测值变化的权重因子,以实时调整异常观测值的权重。仿真和实验研究证明了该方法的有效性。结果表明,该方法可以提供稳定可靠的位置信息,提高了飞行控制质量。

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