5G signal design for road surveillance

M. Schmidhammer, S. Sand, Mohammad H. Soliman, F. Müller
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引用次数: 10

Abstract

This paper proposes a novel road surveillance system for vehicular safety applications to improve the situation awareness of road users. The proposed surveillance system uses signals from vehicular communications infrastructure as illuminators of opportunity. Due to high accuracy requirements of safety applications, the optimal signal design for the surveillance system is discussed in detail. In this regard, the main design criteria is the accuracy of delay and Doppler estimation. Therefore, the Cramer-Rao lower bounds for the joint estimation of delay and Doppler are derived, which are used to evaluate the estimation performance. Together with a detailed geometrical discussion of a bistatic link, the constraints for the signal design are derived. Adopting a multi-carrier 5G localization waveform, this study parametrizes a flexible 5G signal for road surveillance. For an urban environment a parameter set is derived, which is shown to fully satisfy the delay estimation accuracy requirements. Furthermore, the estimation capabilities of bistatic links are evaluated geometrically, clearly identifying the areas allowing valid joint parameter estimation.
道路监控5G信号设计
为了提高道路使用者的态势感知能力,本文提出了一种新的道路安全监控系统。拟议的监视系统使用来自车辆通信基础设施的信号作为机会的照明器。针对安全应用对精度的要求,详细讨论了监控系统的信号优化设计。在这方面,主要的设计标准是延迟和多普勒估计的准确性。因此,推导了时延和多普勒联合估计的Cramer-Rao下界,并以此来评价估计性能。结合双基地链路的详细几何讨论,推导了信号设计的约束条件。本研究采用多载波5G定位波形,对道路监控的灵活5G信号进行参数化。对于城市环境,导出了一个参数集,该参数集完全满足时延估计精度要求。此外,对双基地链路的估计能力进行了几何评估,清楚地确定了允许有效联合参数估计的区域。
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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