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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Kalman Filter Tracking of Limb Scan Signal using a Bank of Correlators
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Kalman Filter Tracking of Limb Scan Signal using a Bank of Correlators

机译：使用一组相关器跟踪肢扫描信号的卡尔曼滤波器

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摘要

A combined phase-locked loop/delay-locked loop (PLL/DLL) algorithm is developed for tracking Global Navigation Satellite System (GNSS) carrier phase and code phase using the output from a large number of correlators. This approach has advantages for limb-scanning applications, in which useful meteorological information, available only at the initial rising time of a GPS satellite, is desired. The technique uses a bank of correlators to span wide ranges of uncertainty in code phase and carrier Doppler shift, thereby avoiding the need for a separate acquisition and the associated loss of an initial span of data. A fusion of optimal estimation methods processes the output from these correlators. A batch optimization of a signal model's fit at a point in time to many accumulations from the correlator bank provides a Kalman filter with "measurements" of the most likely signal parameters. The Kalman filter utilizes a signal dynamics model to provide estimates that drive the PLL and DLL. The effectiveness of this algorithm is demonstrated by using a truth-model simulation of a limb scan.
机译：开发了一种组合锁相环/延迟锁相环（PLL / DLL）算法，以使用大量相关器的输出来跟踪全球导航卫星系统（GNSS）载波相位和代码相位。这种方法对于肢体扫描应用具有优势，其中需要有用的气象信息，这些信息仅在GPS卫星的初始上升时间可用。该技术使用了一组相关器来跨越代码相位和载波多普勒频移中的宽泛不确定性范围，从而避免了需要单独采集以及数据初始跨度的相关损失。最佳估计方法的融合处理了这些相关器的输出。信号模型在某个时间点上对相关器库中许多累积的拟合的批量优化为卡尔曼滤波器提供了“测量”最可能的信号参数的功能。卡尔曼滤波器利用信号动力学模型来提供驱动PLL和DLL的估计。通过使用肢体扫描的真实模型仿真证明了该算法的有效性。

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