飞行轨迹数据压缩算法研究及应用

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引用格式：，.飞行轨迹数据压缩算法研究及应用[J].指挥控制与仿真，2025，47（4）：74-79.YANGY，XIAOYJ.Re-searchandapicationofflight tajectorydatacompressionalgoit[J]ommandControl&Simulation，O25，474）：74-79.

中图分类号：TP391 文献标志码：A DOI：10.3969/j.issn.1673-3819.2025.04.011

Abstract：The vastamountofflighttrajectorydatabrings hugechalengestothedata storage，data query，anddata visualizationinthesituationaldisplaysystem，anddatacompressontechnolgyisanefetivesolutiontothisproblem.Regarding theproblemsthatthecurrentflighttrajectorycompressionalgoritmsdonoteffectivelyutilizeallflightparameterfeaturesand needtosetthresholds manually，thispaper proposesanefectiveflight trajectorydatacompressonalgorithm.Thealgorithm first performs clustering ontheflight direction parametersand selects trajectory feature points basedonthecategory labels. Then，the algorithmcalculates theinformation entropy todeterminethe scoreofeachtrajectoryfeature point，andcomprees the trajectorydata basedonthecompressionrateand score sorting.The simulationresults showthatcomparedwithother algorithms，theproposedalgorithmhasbettercompressonqualityndcompressionefciencyByapplyingthealgorithmtothe trajectory playback andtrajectoryenvelopevisualization inthesituational displaysystem，thesystemresponsespeedanddisplay efficiency can be significantly improved.

Keywords：flight trajectory；data compression；entropy of information；clustering

随着全球定位技术和移动通信的快速发展，在执行飞行任务时，飞行器能够实时将轨迹数据传输到指挥所的态势系统中，而较高的采集频率使得飞行轨迹数据呈爆炸式增长，给轨迹数据存储、分析挖掘和可视化带来了巨大挑战[1]。（剩余8549字）