相干数字汽车雷达网络的空中同步

Lukas Sigg;Lucas Giroto de Oliveira;Zsolt Kollár;Jan Schöpfel;Tobias T. Braun;Nils Pohl;Thomas Zwick;Benjamin Nuss
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引用次数: 0

摘要

与单个传感器相比,雷达网络可以提供更优越的性能。然而,同步对于实现这种雷达网络的一致性至关重要。数字系统尤其为通过信号处理实现空中同步提供了新的机遇。要实现数字雷达网络节点的同步,必须对载波频率偏移(CFO)、采样频率偏移(SFO)和定时偏移(TO)进行校正。粗同步可在事后通过单个传感器的低频(LF)耦合实现,而细同步则通过信号处理实现。要实现精细同步,需要目标或两个雷达传感器之间具有足够信噪比(SNR)的耦合。这种同步方法的局限性主要由单个传感器的测距和多普勒频移模糊性决定。本文通过模拟和测量证明了这种系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Over-the-Air Synchronization for Coherent Digital Automotive Radar Networks
Radar networks can offer superior performance compared to individual sensors. However, synchronization is crucial for realizing such a radar network coherently. Digital systems, in particular, provide new opportunities for over-the-air synchronization via signal processing. To synchronize the nodes of a digital radar network, correction of the carrier frequency offset (CFO), sampling frequency offset (SFO), and timing offset (TO) is necessary. A coarse synchronization can be achieved, for example, afterward through low-frequency (LF) coupling of the individual sensors, with fine synchronization realized through signal processing. For fine synchronization, either a target or coupling between the two radar sensors with sufficient signal-to-noise ratio (SNR) is required. The limits of this synchronization approach are primarily defined by the range and Doppler shift ambiguities of the individual sensors. In this article, simulations and measurements demonstrate the feasibility of such a system.
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