汽车雷达干扰侦听和规避技术

Interference Sensing and Avoidance for Autonomous Radar

智能网联汽车产业在全球范围内的快速发展对交通环境感知技术提出了越来越高的要求。毫米波雷达凭借其全天时全天候可靠工作的特点和相对较低的成本,成为智能网联汽车不可或缺的交通环境感知设备。然而,随着车载雷达渗透率的逐步提升,雷达间的互干扰变得不可忽视,来自其他雷达的干扰会降低本雷达检测概率或提升虚警概率,对行驶安全或舒适性造成负面影响。为了解决该问题,本文给出了一种主动干扰协同方法,称为快速干扰侦听和规避技术(Fast Interference Sensing and Avoidance,FISA),并通过仿真验证了该方法相比于现有随机跳频技术能够显著降低互干扰的发生概率。

The rapid development of global intelligent connected vehicles poses increasing requirements on perception technologies.Millimeter-wave radar has become an indispensable device for intelligent connected vehicles due to its reliable operation in all time and all weather and low cost. However, along with the increasing penetration rate of the automotive radars, the mutual interference between these radars can’t be ignored. Interference from other radars deteriorates the detection performance, which puts on a negative impact on driving safety and comfort. In order to solve this problem, an active interference coordination method called Fast Interference Sensing and avoidance technique(FISA) is proposed. The simulation results show that this method can significantly reduce the probability of mutual interference compared with the existing random frequency hopping technique.