Research On Multi-dimensional Super-resolution Technology Of Millimeter Wave MIMO Radar

Millimeter wave radar has the advantages of strong antiinterference ability,high integration,low cost,etc.,and has a wide range of applications in the fie ld of vehicle radar and traffic detection radar.Based on the super-resolution processing of traditional array signals,the multi-dimensional super-resolution technology of millimeter-wave MIMO radar is proposed in this paper,which realizes the theoretical analysis and simulation experiment of the target distance dimension,angle dimension and velocity dimension information estimation.Reducing the complexity of the proposed method to reduce the computational complexity of the algorithm is proposed in this paper,which further enhances the engineering application value of the proposed method.The main research contents of this paper are as follows:This article first introduces the principle of distance,angle and speed estimation of LFMCW radar,and applies it to TDM-MIMO radar,establishes the LFMCW signal model of TDM-MIMO radar,in order to realize the super-resolution technology in the target range,angle and speed dimension The estimate provides a theoretical basis.Then,the thesis studies the working principle of traditional super-resolution algorithm in DOA estimation,and applies it to the distance,angle and velocity dimension of the signal model to realize the estimation of target distance,angle and velocity information.The key-stone transformation proposed in this paper eliminates the migration of the estimated angle and distance of the target caused by the speed of the moving target,and obtains an accurate estimation of the target information.It is demonstrated through experimental simulation that a better algorithm is selected as the super-resolution algorithm for two-dimensional joint estimation.Finally,through the fractal super-resolution technology,the two-dimensional joint estimation of target distance-angle,distance-speed,and angle-speed is realized by constructing a two-dimensional data model,and on this basis,a complexity reduction algorithm based on data plane unit division is proposed.Based on the beam space-based complexity reduction algorithm,the complexity of the two-dimensional joint estimation is reduced while ensuring the effectiveness of the algorithm.