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A Study on GPS Ranging Based on Signal Subspace Method in Frequency Selective Fading Channels

机译:频率选择性衰落信道中基于信号子空间方法的GPS测距研究

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摘要

Multipath mitigation is a major challenge in satellite-based navigation systems. Most of the available methods to mitigate multipath relies on the estimation of amplitude, phase, delay time of multipath, and narrowing down the correlators position. In order to simplify, we propose a signal subspace method based on singular value decomposition (SVD) that only requires the information of the delay time of each multipath component. In principle, this method depends on the calculation of orthogonal null subspace from a designed signal matrix using the information of the delay time of multipath. This subspace is used to nullify the channel effect completely at the correct direct signal delay time. Computer simulations demonstrate that the performance of this method is better in severe multipath scenario compared to conventional methods.
机译:多径缓解是基于卫星的导航系统中的主要挑战。缓解多径的大多数可用方法依赖于对多径的幅度,相位,延迟时间的估计,以及缩小相关器位置的范围。为了简化,我们提出了一种基于奇异值分解(SVD)的信号子空间方法,该方法仅需要每个多径分量的延迟时间信息。原则上,此方法依赖于使用多径延迟时间的信息根据设计的信号矩阵计算正交零子空间。该子空间用于在正确的直接信号延迟时间完全消除通道效应。计算机仿真表明,与常规方法相比,该方法在严重的多路径情况下的性能更好。

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