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(matlab程序)使用开普勒运动模型跟踪空间碎片.rar
共14个文件
xml:7个
mml:5个
rels:2个
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此示例显示了如何使用自定义运动模型对以地球为中心的轨迹进行建模,如何配置单静态模式以生成对空间碎片的合成检测,以及如何设置多目标跟踪器来跟踪模拟目标。 在低地球轨道(LEO)中有超过30000个大型碎片物体(直径大于10厘米)和超过100万个较小的碎片物体。这些碎片可能对人类在太空中的活动造成危险,损坏运行中的卫星,并迫使时间敏感且代价高昂的避免机动。随着空间活动的增加,减少和监测空间碎片变得至关重要。 可以使用传感器融合和跟踪工具箱对碎片轨迹进行建模,生成对此碎片的合成雷达检测,并获取每个对象的位置和速度估计值。 首先,创建跟踪方案,并为可重复的结果设置随机种子。使用以地球为中心、以地球为中心 (ECEF) 的参考系。这个框架的原点在地球的中心,Z轴指向北极。X 轴指向赤道和格林威治子午线的交点。Y 轴完成右旋系统。平台位置和速度是使用此框架中的笛卡尔坐标定义的。
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使用开普勒运动模型跟踪空间碎片.rar (14个子文件)
_rels
.rels 1KB
metadata
mwcorePropertiesReleaseInfo.xml 302B
mwcorePropertiesExtension.xml 216B
mwcoreProperties.xml 321B
coreProperties.xml 528B
matlab
_rels
document.xml.rels 606B
document.xml 28KB
output.xml 10.28MB
mathml
eqn3.mml 154B
eqn5.mml 134B
eqn2.mml 97B
eqn1.mml 1KB
eqn4.mml 87B
[Content_Types].xml 966B
共 14 条
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