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Optimal Code and Carrier Tracking LoopDesign for Galileo BOC(1,1)

机译:Galileo BOC(1,1)的最佳代码和载波跟踪环路设计

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摘要

In this paper we deal with the Galileo BOC(1,1) signalrntracking loop optimization. It is shown that thernDLL/PLL/FLL design can be shown as an optimalrncontroller design problem. A state space model is derivedrnfor Galileo signal tracking problem. Based on this arncombined DLL/PLL/FLL is design by use of the LinearrnQuadratic Gaussian (LQG) optimal control theory. The LQG loop filter is a regulator. It derives the totalrncode and phase tracking errors as small as possible andrnresults in the minimum mean squared error controlrnperformance. Therefore we can optimally design arncombined receiver loop filters for code, carrier, andrnfrequency tracking. This could results in an improvedrntracking performance over the conventionally, separatelyrnand independently designed tracking loops.rnThe designed tracking loops are applied to real GalileornBOC(1,1) signal received from the GIOVE-A satellite.rnSignal processing results showed improved trackingrnperformance of the LQG based tracking loops over thernconventional approach.
机译:在本文中,我们处理了Galileo BOC(1,1)信号跟踪环路优化。结果表明,DLL / PLL / FLL设计可以作为最优控制器设计问题。针对伽利略信号跟踪问题推导了状态空间模型。在此基础上,采用线性二次高斯(LQG)最优控制理论设计DLL / PLL / FLL。 LQG环路滤波器是一个调节器。它得出的总码和相位跟踪误差尽可能小,从而导致最小均方误差控制性能。因此,我们可以针对代码,载波和射频跟踪优化设计带组合接收器的环路滤波器。这可能会改善传统的,单独设计和独立设计的跟踪环的跟踪性能。将设计的跟踪环应用于从GIOVE-A卫星接收到的实际GalileornBOC(1,1)信号。信号处理结果表明,改进了基于LQG的跟踪性能传统方法的跟踪循环。

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