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首页> 外文期刊>Journal of Spacecraft and Rockets >Trajectory Reconstruction of Sounding Rocket Using Inertial Measurement Unit and Landmark Data
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Trajectory Reconstruction of Sounding Rocket Using Inertial Measurement Unit and Landmark Data

机译:基于惯性测量单元和地标数据的探空火箭弹道重构

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This paper presents trajectory reconstruction of the ST-9 (space technology) sounding rocket experiment using thenonboard inertial measurement unit data and descent imagery. The raw inertial measurement unit accelerometernmeasurements are first converted into inertial acceleration and then used in trajectory integration. The descentnimages are preprocessed using a map-matching algorithm and unique landmarks for each image are created. Usingnthe converted inertialmeasurement unit data and descent images, the result fromdead-reckoning and the kinematic-nfix approaches are first compared with the global positioning system measurements. Then, both the inertialnmeasurement unit data and landmarks are processed together using a batch least-squares filter and the position,nvelocity, stochastic acceleration, and camera orientation of each image are estimated. The reconstructed trajectory isncompared with the global positioning system data and the corresponding formal uncertainties are presented. Thenresult shows that inertialmeasurement unit data and descent images processed with a batch filter algorithmprovidenthe trajectory accuracy required for pinpoint landing.
机译:本文介绍了利用非板惯性测量单位数据和下降图像对ST-9(太空技术)探空火箭实验的轨迹重构。原始惯性测量单位的加速度测量首先转换为惯性加速度,然后用于轨迹积分。使用地图匹配算法对下降图像进行预处理,并为每个图像创建唯一的地标。使用转换后的惯性测量单位数据和下降图像,与全球定位系统的测量结果相比,死区推算和运动学nxx方法的结果是最早的。然后,使用批量最小二乘滤波器一起处理惯性测量单位数据和界标,并估计每个图像的位置,速度,随机加速度和相机方向。重建的轨迹与全球定位系统的数据相比,并给出了相应的形式不确定性。结果表明,惯性测量单位数据和下降的图像用批处理滤波算法处理后,可精确定位所需的轨迹精度。

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