National Taiwan Ocean University Institutional Repository:Item 987654321/40727
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題名: Neural Network Assisted Vector Tracking Loop for Bridging GPS Signal Outages
作者: Dah Jing Jwo
Zi Ming Wen
貢獻者: 國立臺灣海洋大學:通訊與導航工程學系
關鍵詞: Vector Tracking Loop
Neural Network (NN)
Signal Outage
日期: 2015
上傳時間: 2017-02-06T06:45:15Z
出版者: Applied Mechanics and Materials
摘要: Abstract: Signal blockage and reflections from buildings and other large, solid objects can lead to accuracy degradation. One of the merits of the Global Positioning System (GPS) vector tracking loop (VTL) architectures is that the tracking loop can be assisted in such degraded signal environments. This paper proposes the incorporation of the neural network (NN) into the VTL for improving the positioning quality. The NN is used to bridge the GPS signal and prevent the error growth due to signal outage from spreading into the entire tracking loop. The NNs are employed for predicting adequate numerical control oscillator (NCO) inputs, i.e., providing better prediction of residuals for the Doppler frequency and code phase in order to maintain regular operation of the navigation system. The NN-assisted VTL demonstrates the capability to ensure proper functioning of navigation system. Results show that the NN-assisted VTL can effectively provide improved performance during degraded signal environments such as GPS outages.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40727
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