Research And Implementation Of Radar Data Processing Technology In Multi-target Scene

In modern society,radar technology has become a common means of active target detection and is widely used in security,reconnaissance and other fields.With the increasing complexity of target detection scenarios,the demand for refined multi-target tracking continues to increase,which puts forward higher requirements for radar data processing performance.This paper takes linear frequency modulation continuous wave(LFMCW)radar multi-target point trace data as the object,studies point trace aggregation,track initiation,associated tracking,track management and other data processing algorithms and engineering application methods,and designs and implements radar Multi-target data processing system software,the specific research work is as follows:1.A point-track condensing processing scheme is designed,which distinguishes point-tracks by multi-dimensional information such as distance,Doppler velocity,signal amplitude and azimuth angle.It has been verified that it can condense target split points and aggregated false alarm points in real time and accurately.2.The traditional algorithm of target trajectory initiation and its engineering application method are studied,and the relationship between the direction and magnitude of distance and Doppler velocity parameters is used to design a logic method initiation method based on the correlation of motion parameters,which is effective after simulation verification Improve the accuracy of track start.3.The focus is on multi-target track tracking technology: the classic data association and tracking filtering theory are studied,and the performance and application characteristics of different algorithms are analyzed through simulation experiments;in view of the application limitations of nearest neighbor data association(NNDA),it is proposed A NNDA multi-target data association method combined with Doppler velocity is added,and a more rigorous point-track screening and association mechanism is added.The simulation verifies that this method can achieve real-time and accurate tracking in multi-target scenarios;the multi-target track state is designed Classified management plan,and in view of the intermittent loss of target observation points,the method of using Kalman filter multistep prediction for temporary track maintenance is studied.4.Based on the above work,the design and implementation of the LFMCW radar multi-target data processing system software is completed.It focuses on the detailed design of the five functional modules of the system,including data communication,data combination and analysis,point trace processing,track processing,and human-computer interaction.From the perspective of improving system reliability and enhancing real-time processing capabilities,the data structure and The code logic is optimized.