| Millimeter-wave radar has the advantages of small size,strong ability to adapt to the environment,and high detection accuracy.It has played an important role in the fields of autonomous driving,smart city,and smart healthcare.In the MMW radar industry,Texas Instruments’ sensor devices have been in a leading position,with features such as ultra-high resolution and low power consumption,and are widely adopted in the field of automotive driving.With the expanding application range of MMW radar,its performance is increasing required,especially in angle estimation.MIMO technology can realize antenna extension under limited antenna array aperture,to improve the accuracy and resolution of radar.Super-resolution algorithm can break through the Rayleigh limit and obtain relatively high resolution.In practice,for different MMW radar application scenarios,it is of great significance to study how to select an appropriate angle measurement algorithm to achieve better estimation performance.Based on the above research background,this paper introduces the basic working principle of MMW radar and related super-resolution angle measurement algorithms and applies a fast precise frequency estimation based on FFT to the angle estimation,which can obtain relatively ideal angle measurement performance in practical engineering.The main work is as follows:First,the basic principles of ranging and speed measurement and angle measurement of MMW radar are introduced,the MIMO virtual antenna technology and its principle are introduced,and the antenna array model of TI millimeter wave radar single chip and cascade chip is given.Secondly,considering the monitoring radar scenario and the automotive radar scenario,this thesis introduces three traditional super-resolution direction-of-arrival(DOA)estimation algorithms and four improved algorithms.For the monitoring radar scenario,After a series of simulation experiments,the angle measurement performance and running time of each algorithm are analyzed and compared in-depth under the configuration of the TI radar antenna array,and the algorithm selection suggestions in this scenario are given.Then,the basic principles of the two decoherence algorithms are introduced,and the simulation experiments are carried out for the automotive radar scene.The angle measurement performance and running time of the decoherence algorithm and several improved algorithms are compared and analyzed more comprehensively.In addition,this thesis gives the suggestions for the decoherence algorithm selection under different TI radar antenna configurations.Finally,aiming at the problem of insufficient accuracy of the more widely used FFT angle estimation algorithm in practical applications,the FFT-based deviation correction fast frequency measurement method is applied to angle measurement,and the influence of different parameters on the DOA estimation performance of this algorithm is compared and analyzed,and we verify and analyze algorithm performance under three TI radar antenna configurations.By comparing with the FFT Angle measurement algorithm,the superiority of this algorithm in Angle measurement is proved. |
