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Sample-Wise Aiding in GPS/INS Ultra-Tight Integration for High-Dynamic, High-Precision Tracking

机译:明智的GPS / INS超紧密集成技术,可实现高动态,高精度跟踪

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By aiding GPS receiver tracking loops with INS estimates of signal dynamics, GPS/INS ultra-tight coupling can improve the navigation performance in challenging environments. Traditionally the INS data are injected into the loops once every loop update interval, which limits the levels of dynamics accommodated. This paper presents a sample-wise aiding method, which interpolates the aiding Doppler into each digital sample of the local signal to further eliminate the dynamic errors. The relationship between the tracking error and the aiding rate is derived analytically. Moreover, the effects of sample-wise aiding using linear and spline interpolations are simulated and compared with traditional aiding under different INS data update rates. Finally, extensive tests based on a digital IF (intermediate frequency) signal simulator and a software receiver validate the theoretical equations and demonstrate that the dynamic stress error can be significantly reduced by sample-wise aiding.
机译:通过辅助GPS接收器跟踪回路以及INS信号动态估计,GPS / INS超紧密耦合可以提高在严峻环境中的导航性能。传统上,每个循环更新间隔将INS数据注入循环一次,这限制了所容纳的动态级别。本文提出了一种基于样本的辅助方法,该方法将辅助多普勒插值到本地信号的每个数字样本中,以进一步消除动态误差。通过分析得出跟踪误差与辅助率之间的关系。此外,在不同的INS数据更新速率下,使用线性和样条插值的样本辅助方法的效果被模拟并与传统辅助方法进行了比较。最后,基于数字IF(中频)信号模拟器和软件接收器的大量测试验证了理论方程,并证明了通过逐样本辅助可以显着降低动态应力误差。

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