Global satellite navigation systems (GNSS) are nowadays used in many applications. GNSS receivers experience limitations in receiving weak signals in a degraded environment. Hence, tracking weak GNSS signals is a topic of interest to researchers in this field. Different methods have been proposed to address this issue, each of which has advantages and disadvantages. In this paper, a method based on the vector tracking method is proposed for weak signal tracking. This method has been developed based on a strong Kalman filter instead of the extended Kalman filter used in conventional vector tracking methods. In order to adjust important parameters of this filter, the fuzzy method is used. The results of tests performed with both simulated data and real data demonstrate that the proposed method performs better than previous ones in weak signal tracking.

中文翻译：

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在弱信号条件下使用模糊智能估计器增加 GPS 接收器的电阻

全球卫星导航系统 (GNSS) 现在用于许多应用中。GNSS 接收器在退化环境中接收微弱信号时会遇到限制。因此，跟踪弱 GNSS 信号是该领域研究人员感兴趣的话题。已经提出了不同的方法来解决这个问题，每种方法都有优点和缺点。本文提出了一种基于矢量跟踪方法的弱信号跟踪方法。该方法是基于强卡尔曼滤波器而不是传统矢量跟踪方法中使用的扩展卡尔曼滤波器而开发的。为了调整这个滤波器的重要参数，使用了模糊方法。