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.