室内GNSS信号的距离和时间特性

T. Marathe, A. Broumandan, A. Pirsiavash, G. Lachapelle
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引用次数: 2

摘要

小型蜂窝现在广泛用于提供室内无线服务,并且作为新兴应用的技术推动者,其重要性正在进一步提高。这些技术依赖于邻近基站广播信号的精确同步。因此,后者必须获得可靠和准确的时间参考。GNSS信号可用于在开放天空条件下提供可靠的全球时间参考。然而,由于室内信号水平低,这些信号的检测和处理以及在室内获得准确的时间仍然是一个挑战。假设使用GNSS或其他室内定位技术获得的室内静态应用的准确位置估计是已知的。在此假设下,精细授时解可以提供可靠的单星信息。因此,本文描述了基于GPS的室内信号测量和授时精度。本研究特别侧重于评估静态室内位置的范围和定时精度。在两个具有不同室内特征的室内站点收集实际GPS数据,每个站点的持续时间超过10分钟。假设一个已知的用户位置,测量精度分析随着时间的推移,同时观察接收到的信号功率。对于所考虑的室内场景,可以实现10米(30纳秒)量级的测距(定时)精度。最后,为了评估室内测量在较长时间内保持良好时间同步精度的能力,每隔30分钟收集两分钟数据段,持续3小时。研究了伪距(时间)误差和位置误差的时间变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Range and Time Performance of Indoor GNSS Signals
Small cells are now widely used to provide indoor wireless services and are gaining further importance as technology enablers for emerging applications. These techniques rely on accurate synchronization of signals broadcast from neighboring base stations. Therefore, the latters must have access to reliable and accurate time reference. GNSS signals can be used to provide a reliable global time reference in open sky conditions. However, owing to low levels of signals indoors, the detection and processing of these signals and obtaining an accurate time indoors are still a challenge. It is assumed that accurate position estimates are known for indoor static applications which are obtained either using GNSS or other indoor positioning technologies. Under this assumption, fine timing solution can be provided with reliable single satellite information. As such this paper characterizes GPS based measurement and timing accuracies for indoor signals. This study specifically focuses on assessing range and timing accuracies for static indoor locations. Actual GPS data was collected at two indoor sites having different indoor characteristics for duration of more than ten minutes at each site. Assuming a known user position, measurement accuracies are analyzed over time while simultaneously observing received signal power. Ranging (timing) accuracy in the order of 10 m (30 ns) was achievable for the indoor scenarios considered. Finally, to assess the capability of indoor measurements to sustain good time synchronization accuracy over a longer duration, two-minute data segments were collected at intervals of 30 minutes for three hours. The time variations of the pseudorange (time) and position errors are studied.
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