Design And Signal Processing On Automotive Anti-collision Radar System

The casualties of traffic accident cause people's attention.In order to reduce the occurrence of traffic accidents,the study of automobile anti-collision system is of great significance.Automobile anti-collision system improves vehicle's active safety effectively and prevents the happening of the collision.This paper select automobile anti-collision system radar as the research object,the main research content is as follows:At first,proposing the requirements of automobile anti-collision system performance.By comparing the working characteristic of millimeter wave radar,laser radar,vision,ultrasonic and infrared sensors,using the millimeter wave radar sensor in automobile anti-collision system and researching the and structure of the millimeter wave radar.Safety distance model is established,then obtaining the safety distance through calculating.Secondly,according to the requirements of automobile anti-collision system performances,selecting the frequency modulated continuous wave radar and researching the working principle of frequency modulated continuous wave radar.Researching the ranging principle of MFSK,LFMCW,FSK,SFCW,choosing MFSK and LFMCW.Setting up the radar system parameters,using MATLAB to establish automotive anti-collision radar system model and measuring the distance and relative velocity of the target under the environment of single objective and multi-objective.The results show that the radar parameters and system design meet the requirements.MFSK's precision and accuracy is better than that of LFMCW.Finally,analysis the characteristics of noise in automobile anti-collision system.The main radar noise is Gaussian white noise.Based on basic theory,putting forward the denoising algorithm of wavelet transform and kalman filter and the empirical mode decomposition.Using ADS simulate the intermediate frequency signal in automobile anti-collision system and the using those denoising methods in signal processing.Results show that the effect of wavelet transform and kalman filtering is better than empirical mode decomposition.This paper research the radar system and signal denoising,which improve the accuracy of measurement and the performance of automobile anti-collision system.This paper also in favor of the research of autopilot based on millimeter wave radar.