Anti-Interference Algorithm of Environment-Aware Millimeter Wave Radar

Jin Dai, Shuo Sha, Yao Yao
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Abstract

Environment-aware millimeter wave radar (EMWR) is one of the most important sensors in autonomous driving system of car. With the number of cars installed EMWR increased rapidly in recent year, the problem of interference between EMWRs on different cars becomes a mounting crisis, which can seriously affect the safety of drivers on that car, especially driving on the highway. In order to solve the above problem, this paper conducts an anti-interference algorithm for 77G EMWR by dividing the interference among EWMRs into two types: the same frequency interference (SFI) and different frequency interference (DFI). In the SFI, the random initial frequency and random starting time are used to reduce the probability of signal collision to inhibit the interference. In DFI, the Hilbert transformation is used to extract the envelope and gets the location of the interference signal. Furthermore, Lagrange interpolation is used to improve the accuracy of the location in DFI to reduce the effective of different frequency interference on EMWRs.
环境感知毫米波雷达抗干扰算法
环境感知毫米波雷达(EMWR)是汽车自动驾驶系统中重要的传感器之一。近年来,随着EMWR车辆数量的迅速增加,不同车辆EMWR之间的干扰问题日益严重,严重影响了车辆驾驶员的安全,特别是在高速公路上行驶。为了解决上述问题,本文针对77G EMWR进行了抗干扰算法,将EWMRs之间的干扰分为同频干扰(SFI)和异频干扰(DFI)两类。在SFI中,采用随机起始频率和随机起始时间来降低信号碰撞的概率,从而抑制干扰。在DFI中,利用希尔伯特变换提取包络,得到干扰信号的位置。此外,采用拉格朗日插值方法提高DFI定位精度,降低不同频率干扰对emwr的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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