戴金洲,杜 磊,沙 硕,姚 瑶.环境感知毫米波雷达抗干扰算法研究[J].电子测量与仪器学报,2023,37(9):126-132
环境感知毫米波雷达抗干扰算法研究
Anti-interference algorithm of environment-aware millimeter wave radar
  
DOI:
中文关键词:  毫米波雷达  抗干扰  希尔伯特变换  拉格朗日插值
英文关键词:millimeter wave radar  anti-interference  Hilbert transformation  Lagrange interpolation
基金项目:国家重点研发计划(2022YFF0604803)项目资助
作者单位
戴金洲 1. 北京市计量检测科学研究院 
杜 磊 2. 中国计量科学研究院 
沙 硕 1. 北京市计量检测科学研究院 
姚 瑶 1. 北京市计量检测科学研究院 
AuthorInstitution
Dai Jinzhou 1. Beijing Institute of Metrology 
Du Lei 2. National Institute of Metrology 
Sha Shuo 1. Beijing Institute of Metrology 
Yao Yao 1. Beijing Institute of Metrology 
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中文摘要:
      环境感知毫米波雷达是自动驾驶系统中最重要的传感器之一。 随着安装毫米波雷达的汽车数量快速增加,雷达间相互 干扰问题日益突出,严重影响汽车的道路行驶安全。 毫米波雷达的干扰类型分为同频干扰和异频干扰两种,针对毫米波雷达同 频、异频干扰对雷达虚警和漏警的影响问题,本文提出了环境感知毫米波雷达的抗干扰算法。 采用随机跳频和随机初始时间的 抗干扰算法,降低信号碰撞概率,抑制同频干扰;通过希尔伯特变换提取包络截取干扰信号区域并采用拉格朗日插值法进行干 扰缓解,抑制异频干扰对毫米波雷达检测结果的影响。 仿真结果表明,上述抑制干扰的方法能够有效降低雷达的虚警和漏警 率,以达到理想的抗干扰效果。
英文摘要:
      Environment-aware millimeter wave radar (EMWR) is one of the most important sensors in autonomous driving system of car. With the rapid increase of the number of cars installed with millimeter-wave radar, the problem of mutual interference between radar is increasingly prominent, which seriously affects the road safety of cars. The interference types of millimeter wave radar can be divided into two types: Same frequency interference (SFI) and different frequency interference (DFI). Aiming at the influence of SFI and DFI of millimeter-wave radar on radar false alarm and leakage alarm, this paper proposes the anti-interference algorithm of environmental awareness millimeter-wave radar. The random initial frequency and random starting time are used to reduce the probability of signal collision to inhibit the interference. 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. The simulation results show that the above method can achieve an ideal effect.
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