Research And Simulation Of MIMO Vehicle Anti-collision Radar

Multiple-Input Multiple-Output(MIMO)vehicle anti-collision radar refers to the application of MIMO radar system to vehicle anti-collision.MIMO radar is a new type of radar system which has attracted great attention in recent years.It is a multitransmitting and multi-receiving radar.The characteristics of waveform diversity make MIMO radar have many advantages over traditional radar,such as strong anti-jamming ability and resolution in complex traffic environment.In recent years,researches have been applied to airborne radar.The application prospect of vehicle anti-collision radar will be very broad.Orthogonal waveform design is one of the key problems in MIMO radar design.The related problems of pattern involve resolution more deeply.Resolution,as an important reference index in radar,deserves further study.In view of the above problems,the main work is as follows:1.analyzes the basic characteristics and basic principle of MIMO radar system,compares several common used orthogonal waveform design in waveform.2.Aiming at the problem of orthogonal waveform design,based on phase-coded waveform design,a continuous phase-coded orthogonal waveform is designed by using hybrid genetic algorithm and the orthogonal waveform with low auto correlation side lobe and low cross-correlation peak is simulated.The relationship between orthogonal performance and symbol length is studied.The simulation results show that the longer the symbol length is,the better the waveform performance is.The relationship between the orthogonal performance of wave forms and the number of signals is studied.The simulation results show that the performance of signals decreases with the increase of the number of signals.3.Aiming at the premature convergence of optimization using hybrid genetic algorithm,a mathematical model of orthogonal continuous phase coding based on convex optimization is established.The simulation results show that the waveform performance is better than that of hybrid genetic algorithm under the same conditions.4.For continuous phase coding,a mathematical model of truncation error is established,and the feasibility of continuous phase coding is verified by simulation calculation.5.Aiming at the pattern problem,this paper mainly studies the effect of grating lobe suppression by optimizing the spacing of array elements under the condition of controlling the beam width of main lobe.To solve this problem,a mathematical model is established based on hybrid genetic algorithm.The simulation results show that,compared with the traditional phased array radar,the grating lobe is effectively suppressed under the condition of a certain beam width of the main lobe.The effects of different orientation angles and array elements on the grating lobe suppression in the pattern of controlling the main lobe beam width are studied.The simulation results show that under certain conditions,the larger the direction angle,the worse the grating lobe suppression effect of the pattern;the larger the number of elements,the better the grating lobe suppression effect of the pattern.