摘要
随着毫米波雷达在高级辅助驾驶应用中增多,未来几年将呈现大规模应用的趋势,汽车毫米波雷达在同一交通道路上互相干扰的概率增加。为此,提出一种基于维纳滤波的汽车毫米波雷达干扰抑制方法。维纳滤波对常规平稳噪声干扰信号具有较好的抑制性能,然而雷达的干扰信号为非平稳非高斯类型。为了使经典的维纳滤波适用于汽车毫米波雷达的干扰抑制,首先对回波信号的噪声基底水平进行统计,进而区分回波信号的干扰部分与无干扰部分;在距离向傅里叶变换域中,利用短长度的滑动窗口对含有干扰的雷达回波信号进行维纳滤波,自适应动态地更新滤波器系数,对干扰回波进行抑制。进一步地根据现有的雷达系统参数,完成了77 GHz汽车毫米波雷达的仿真实验以及雷达硬件干扰实验。仿真及硬件实测实验结果表明该方法可有效抑制干扰信号,并成功将淹没在干扰信号中的目标恢复,目标的信号噪声干扰比提升9.1 dB。
With the increase using of millimeter-wave radar in advanced driver-assistance systems(ADAS), there will be a trend of large-scale application in the next few years, and therefore the probability of automobile millimeter-wave radar interfering with each other on the same traffic road increases. To this end, this paper proposes an interference reduction method for automotive millimeter-wave radar based on Wiener filtering. It is known that Wiener filtering has excellent suppression performance on conventional stationary noise interference signals, however, radar interference signals are non-stationary and non-Gaussian. In order to make the classic Wiener filter suitable for interference suppression of automobile millimeter wave radar, this paper first makes statistics on the noise floor level of the echo signal, and then distinguishes the interference part of the echo signal from the non-interference part;in the distance to Fourier transform In the domain, a short-length window is used to perform Wiener filtering on the radar echo signal containing interference, and the filter coefficients are adaptively and dynamically updated to suppress the interference echo. Based on the existing radar system parameters, the simulation experiment of 77 GHz automotive millimeter wave radar and the actual measurement experiment of radar hardware interference were completed. Experimental results show that the method in this paper can effectively suppress the interfering signal, and successfully recover the target drowned in the interfering signal, and the signal-to-interference ratio of the target is improved by 9.1 dB.
作者
袁敏
施佺
许致火
Yuan Min;Shi Quan;Xu Zhihuo(School of Information Science and Technology,Nantong University,Nantong 226001,China;School of Transportation,Nantong University,Nantong 226001,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2021年第2期194-201,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(61801247)
江苏省自然科学基金(BK20180945)项目资助。
关键词
汽车毫米波雷达
交叉干扰
干扰抑制
维纳滤波
automotive millimeter wave radar
mutual interference
interference mitigation
Wiener filter