| Automobile collision avoidance radar system can effectively reduce traffic accidents and plays an important role in improving traffic safety.Its research and development has great practical significance and broad application prospects.With the increasing demand of automobile anti-collision radar,the traditional phase angle radar has been unable to meet the requirements of high-resolution.In this paper,the millimeter-wave automobile anti-collision radar signal processing method based on digital beamforming is studied.The main works of this paper are accomplished as follows:1.Research on millimeter wave automobile radar system based on array signal processing,the beamforming technique is used to process the array signals of the LFMCW radar.A method of vehicle radar signal processing based on real signal beamforming is proposed.The algorithm does not need to use I/Q demodulation of the received signal,thus greatly reducing the system channel number,cost and structure complexity.Then simulate the algorithm using Matlab,and the test is completed on the 24 GHz millimeter wave radar system designed by our team;2.The beamforming technique of single-channel array antenna is deeply studied.A beamforming algorithm based on 2D-MUSIC is proposed,and the distance,velocity and angle information of the target can be accurately obtained at low signal-to-noise ratio.Furthermore,by using the fast subspace spectral peak search method,the 2D-MUSIC algorithm is optimized to reduce the complexity of the algorithm;3.A beamforming algorithm based on compressed sensing is studied,and a beamforming algorithm based on the neighborhood filter is proposed to verify the matching algorithm. |
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