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首页> 外文期刊>The Journal of Navigation >Increasing the Resistance of GPS Receivers by Using a Fuzzy Smart Estimator in Weak Signal Conditions
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Increasing the Resistance of GPS Receivers by Using a Fuzzy Smart Estimator in Weak Signal Conditions

机译:通过在弱信号条件下使用模糊智能估计器来增加GPS接收器的电阻

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摘要

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.
机译:现在,全球卫星导航系统(GNSS)在许多应用中使用。 GNSS接收器在降低环境中接收弱信号的验证频率。因此,跟踪弱GNSS信号是该领域的研究人员感兴趣的主题。已经提出了不同的方法来解决这个问题,每个方法都具有优缺点。本文提出了一种基于矢量跟踪方法的方法,用于弱信号跟踪。该方法已经基于强Kalman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开发。为了调整该过滤器的重要参数,使用模糊方法。使用模拟数据和实际数据执行的测试结果表明,所提出的方法在弱信号跟踪中执行比以前的方法更好。

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