Research On Constant False Alarm Technology Of FMCW Radar

FMCW(Frequency Modulated Continuous Wave)radar is widely used in military and civilian fields due to its high resolution,high accuracy,and low power consumption.With the continuous expansion of civil radar scenarios,how to improve the target detection capacity of radar in many miscellaneous waves,noise,and interference environments becomes more and more important.The Constant False Alarm Rate(CFAR)detection technology is a necessary algorithm in the radar automatic detection.The relevant algorithm has always been a research hotspot and played an important role in a variety of specific environments.However,how to maintain the stability of the detection performance and reduce the complexity of algorithm in complex environments is relatively small.Therefore,on the basis of the existing CFAR detection technology,this article conducts research on the self-adaptive CFAR detection algorithm under the complex environment,proposes an improved algorithm,and verification data is verified by the measured data of the FMCW radar system.The main research content and achievements are as follows:(1)On the basis of the FMCW radar system and radar constant police detection technology,the advantages and disadvantages of the classic CFAR detection technology in different background environments have been simulated and analyzed,forming a parameterized representation of the detection performance,which is the subsequent CFAR The study of algorithm provides a basis.(2)Study on the ACMLD-CFAR algorithm in the adaptive CFAR detection algorithm.Optimized the lack of performance in the conventional multi-target environment,proposed two second-level CFAR algorithms,and when the signal-to-clutter ratio is within 10-20 db range,the detection probability is 0.1 higher than that of ACMLD-CFAR.Introduce automatic screening technology,combine the secondary CFAR and TM-CFAR algorithm to achieve unilateral reference half-window self-adaptive iteration elimination.The algorithm complexity is lower and can be better implemented based on embedded platforms.Finally,through comparison with several classic CFAR algorithms,the simulation of the performance of the improvement algorithm in multiple target environments.(3)Research on the variable index(VI-CFAR)algorithm,combined with the adaptive deleted secondary CFAR detection algorithm,and the performance of severe decline in the performance during interference in the multi-target environment,it was raised.A VIACM-CFAR algorithm combined with VI-CFAR.The simulation analysis shows that when there are two interference targets on both sides,the detection probability of VIACM-CFAR is 100% higher than the VI-CFAR.(4)Completed the construction of the FMCW radar hardware system.According to the functional needs of the system,the QT software is used to develop the upper machine display program.The performance verification of the CFAR algorithm designed in this article is verified by testing data.