Application Research Of Multi-attribute Classification In Radar Target Tracking Algorithm

Radar target tracking technology is an extremely important part of the radar system's work.With the development of electronic technology,radar target tracking is facing an increasingly dense clutter environment.How to effectively filter out these clutter information becomes an important problem to be solved in radar target tracking algorithm research.The traditional target tracking method mostly uses the scale measurement information to complete the prediction and update of the target state.The target tracking algorithm under the multi-attribute classification proposed in this paper introduces the target attribute feature to complete the target tracking in the dense clutter environment.Firstly,the application of multi-attribute classification in radar single target tracking algorithm is designed.Aiming at the problem that the existing algorithm obtains too little target attribute information,a target tracking filtering algorithm based on SVM multi-attribute classifier is proposed.The working principle and algorithm flow of the tracker,detector and learner in the algorithm are introduced in detail.The simulation results are verified by simulation experiments,which proves that the application of multi-attribute classification effectively improves the accuracy of radar single-target tracking process.Then the application of multi-attribute classification for radar multi-target tracking is studied in detail.The GM-PHD maneuvering multi-target tracking algorithm based on multi-attribute classification is designed and implemented.The GM-PHD algorithm flow based on multi-maneuvering target tracking model is expounded,and the principle and process of target attribute classification are analyzed.The simulation is used to complete the algorithm,and the accuracy of feature classification for multi-target tracking algorithm is verified.Finally,the multi-attribute classification is extended and applied to the radar and infrared multi-target tracking algorithm.The process of correlating the traces with the track,track and track is fully explained.The effectiveness of multi-attribute classification for multi-sensor multi-target tracking algorithm is proved by simulation experiments.