使用真实数据评估汽车雷达射频干扰缓解方法

R. Muja, A. Anghel, R. Cacoveanu, S. Ciochină
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引用次数: 0

摘要

自动驾驶汽车在道路上的使用越来越多,导致雷达之间出现相互干扰,这一事实决定了越来越多的拟议RFI缓解和避免算法。本文利用美国德州仪器公司(ti)生产的两个AWR1843单片77- 79 ghz FMCW雷达传感器(一个传感器用作干扰源,另一个传感器用作受害方雷达)获取的一组真实数据,针对不同类型的干扰(相关和不相关)和不同功率级的干扰,分析了最先进的FMCW啁啾序列干扰缓解算法的性能信号。
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Assessment of RF interference mitigation methods for automotive radars using real data
The increased use of autonomous vehicles on the roads leads to the appearance of mutual interference between the radars, a fact that determines a growing number of the proposed RFI mitigation and avoidance algorithms. This paper analyzes the performance of state-of-the-art interference mitigation al-gorithms for FMCW chirp sequences using a set of real data acquired with a DCA1000 evaluation module and two AWR1843 Single-Chip 77- to 79-GHz FMCW Radar Sensors manufactured by Texas Instruments (one sensor is used like interferer source and the second one is used like victim radar) for scenarios with different type of interferences (correlated and uncorrelated) and different power levels of the interference signals.
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