Electronics and Electrical Engineering, Hongik University, 72-1 Sangsu-Dong, Mapo-Gu, Seoul 04066, Korea.
Sensors (Basel). 2018 Aug 27;18(9):2831. doi: 10.3390/s18092831.
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.
最近，许多汽车采用雷达传感器来支持先进驾驶辅助系统（ADAS）功能。随着具有雷达系统的车辆数量增加，雷达信号干扰的概率以及随之而来的鬼影目标问题变得严重。在本文中，我们提出了一种新的算法，在调频连续波（FMCW）雷达中为每辆车部署啁啾序列，以减轻车辆间雷达干扰。我们设计了一个啁啾序列集，使得集中每辆车的啁啾序列斜率不会重叠。通过为每辆车分配一个啁啾序列，我们减轻了来自相邻车辆的雷达信号的干扰。我们通过计算机模拟随机确认了所提出方法的性能。模拟结果表明，所提出的方法显著改善了检测和虚警性能。
