Research On Radar Target Correlation Tracking Technology Based On Information Assistance In Complex Scene

Under the influence of stealth technology,clutter interference and electronic countermeasures,the echo energy of radar is constantly weakened,so that targets are often submerged in the dense clutter background and cannot track the battlefield targets accurately.With the improvement of radar detection capability and the application of multiple sensors,radar can not only obtain the conventional kinematics parameters,but also obtain other characteristic auxiliary information.With the help of such information,the radar target correlation tracking technology based on information assistance can improve the recognition degree of target and clutter and weaken the influence of clutter.The specific work is as follows:(1)State estimation and filtering theory under the background of ideal target tracking,as well as the principle of traditional single-target and multi-target data association algorithm are described.(2)According to the amplitude characteristics in complex scenes,amplitude likelihood functions under different clutter models are derived,which lays a theoretical foundation for the use of amplitude information under clutter background.(3)This paper puts forward a kind of m effective measurement probability practice and interactive multiple model adaptive probability method of combining the correlation tracking.(4)For weak target radar scattering area is small,weak echo energy,false alarm clutter in the process of tracking number is more,easy to make wrong with,with the problem of leakage,puts forward a kind of auxiliary amplitude information not clever gaussian mixture probability hypothesis filtering algorithm.(5)Aiming at the problem of performance attenuation of traditional multi-objective tracking algorithm in sea clutter environment,a Cardinality Balanced Multi-Target Multi-Bernoulli(CBMeMBer)algorithm assisted by Amplitude Information(AI)was proposed.(6)Aiming at the problem that the target and the clutter are close to each other,it is easy to produce false and missing tracks,a gaussian mixture Generalized Labelled Multi-Bernoulli(GM-GLMB)algorithm with amplitude information is proposed.