Robust GPS Carrier Tracking Model Using Unscented Kalman Filter for a Dynamic Vehicular Communication Channel
Robust GPS Carrier Tracking Model Using Unscented Kalman Filter for a Dynamic Vehicular Communication Channel
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DOI：
10.1109/access.2018.2834470
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发表时间：
2018
期刊：
影响因子：
3.9
通讯作者：
Jiachen Yin;R. Tiwari;M. Johnston
中科院分区：
文献类型：
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作者：
Jiachen Yin;R. Tiwari;M. Johnston
GPS接收机中的载波跟踪环路被认为是一个重要的过程，但也是一个薄弱环节，因为信号锁定的丢失在各种情况下都会发生。当动态环境中的随机相位波动很常见时，低载噪比和高动态环境是车载通信信道的常见场景。为了提高密集动态环境下的跟踪能力和跟踪精度，提出了一种基于自适应无迹卡尔曼滤波的三阶锁相环动态积分载波跟踪方法。通过实验研究了该载波跟踪方法的跟踪性能，并与已有的通用GPS接收机的跟踪算法进行了比较。结果表明，该方法在高动态环境下具有较好的跟踪能力和跟踪精度，在车载通信信道下具有较好的跟踪性能。
The carrier tracking loop in a GPS receiver is considered to be an important process but also a weak link since the loss of signal lock can occur in a variety of situations. Low carrier-to-noise ratios and highly dynamic environments are common scenarios for a vehicular communication channel when random phase fluctuations in a dynamic environment are common. We propose a novel and robust carrier tracking approach by dynamically integrating an adaptive unscented Kalman filter assisted by a third-order phase lock loop in order to improve the robustness of tracking capability and accuracy in dense and dynamic environments. Experiments are conducted to investigate the tracking performance of the proposed carrier tracking approach and compare it with existing algorithms for generic GPS receiver. Results indicate that the proposed approach has a better performance in tracking capability and tracking accuracy in highly dynamic environments, and the proposed method achieves a better performance on vehicular communication channels.