Automotive Frequency Modulated Continuous Wave Radar Interference Reduction Using Per-Vehicle Chirp Sequences.
Automotive Frequency Modulated Continuous Wave Radar Interference Reduction Using Per-Vehicle Chirp Sequences.
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DOI：
10.3390/s18092831
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发表时间：
2018-08-27
期刊：
影响因子：
--
通讯作者：
Heo SW
中科院分区：
文献类型：
--
作者：
Son YS;Sung HK;Heo SW
近年来，许多汽车采用雷达传感器来支持先进的驾驶员辅助系统(ADAS)功能。随着装有雷达系统的车辆数量的增加，雷达信号受到干扰的概率和随之而来的幽灵目标问题变得严重。本文提出了一种在调频连续波(FMCW)雷达中部署每车Chirp序列的新算法，以抑制车对车雷达的干扰。我们设计了一个线性调频序列集合，使得每个车辆的线性调频序列的斜率不会在集合内重叠。通过为每辆车分配一个线性调频序列，我们减轻了来自相邻车辆发射的雷达信号的干扰。我们通过计算机仿真随机地证实了该方法的性能。仿真结果表明，该方法显著提高了检测和虚警性能。
Recently, many automobiles adopt radar sensors to support advanced driver assistance system (ADAS) functions. As the number of vehicles with radar systems increases the probability of radar signal interference and the accompanying ghost target problems become serious. In this paper, we propose a novel algorithm where we deploy per-vehicle chirp sequence in a frequency modulated continuous wave (FMCW) radar to mitigate the vehicle-to-vehicle radar interference. We devise a chirp sequence set so that the slope of each vehicle’s chirp sequence does not overlap within the set. By assigning one of the chirp sequences to each vehicle, we mitigate the interference from the radar signals transmitted by the neighboring vehicles. We confirm the performance of the proposed method stochastically by computer simulation. The simulation results show that the detection and false alarm performance is improved significantly by the proposed method.
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发表时间：
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