Journal of Projectiles, Rockets, Missiles and Guidance >
The Recognition of Radar Trajectory Based on the Boosting Learning Algorithms
Received date: 2009-10-07
Online published: 2025-05-28
Trajectory prediction plays a crucial role in reconnaissance and adjustment of radar, and the performance of radar for reconnaissance and adjustment is directly determined by its accuracy. In our paper[1], it was proposed that the stage of trajectory prediction can be divided into the recognition phase and prediction phase of specific trajectories, and the application of SVM in trajectory recognition was systematically investigated. In this paper, the Boosting classification technique was introduced to recognize the trajectories. Several experiments indicate that the efficient decision-tree-based Boosting algorithms reach higher precision than kernel-based SVM.
LIU Xin , DING Junsong , CHU Dejun , TAO Qing . The Recognition of Radar Trajectory Based on the Boosting Learning Algorithms[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010 , 30(4) : 193 -196 . DOI: 10.15892/j.cnki.djzdxb.2010.04.047
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