Sparse Signal Bands Selection for Precise Time-based Ranging in Terrestrial Positioning

H. Dun, C. Tiberius, C. Diouf, G. Janssen
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引用次数: 5

Abstract

Time-based ranging accuracy is inversely proportional to the signal bandwidth. A larger the signal bandwidth leads to a higher accuracy of time delay estimation, but more complex hardware is needed. Alternatively, we explore the idea of using multiple narrow signal bands (e.g., 10 MHz of each) to create a large virtual signal bandwidth, which maintains the spectral efficiency but largely improves the ranging accuracy. Considering the impact of multipath, the propagation delay of the LoS path is computed from the estimated channel impulse response (CIR). In this paper, we propose an approach to sparsely select signal bands for ranging and positioning based on convex optimization. The Cramér-Rao lower bound (CRLB) for the propagation delay and gain estimators, as a performance criterion, is employed in the constraint of the optimization. The CRLB is derived in a two-path channel, so that the accuracy and the correlation between the LoS path and the reflection are taken into account. Experiments are conducted in a laboratory environment to illustrate the proposed signal design methodology dedicated for ranging with a sub-decimeter accuracy.
地面定位精确时基测距的稀疏信号频带选择
基于时间的测距精度与信号带宽成反比。信号带宽越大,时延估计精度越高,但需要的硬件越复杂。或者,我们探索使用多个窄信号频带(例如每个10 MHz)来创建大的虚拟信号带宽的想法,这在保持频谱效率的同时大大提高了测距精度。考虑到多径的影响,从估计的信道脉冲响应(CIR)计算LoS路径的传播延迟。本文提出了一种基于凸优化的稀疏选择信号频带的测距定位方法。在优化约束中,采用了传播时延和增益估计器的cram r- rao下界(CRLB)作为性能准则。CRLB是在双径信道中导出的,因此考虑了LoS路径和反射之间的精度和相关性。实验在实验室环境中进行,以说明所提出的信号设计方法,专门用于亚分米精度的测距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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