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A vision-based DSP embedded navigation sensor

机译:基于视觉的DSP嵌入式导航传感器

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Spacecraft missions such as spacecraft docking and formation flying require high-precision relative position and attitude data. Deep space missions require the use of alternative technologies. One such technology is the vision-based navigation (VISNAV) sensor system developed at Texas A&M University. VISNAV comprises an electro-optical sensor combined with light sources or beacons. This patented sensor has an analog detector in the focal plane with a rise time of a few microseconds. Accuracies better than one part in 2000 of the field of view have been obtained. Simultaneous activation of beacons with frequency division multiplexing is given as part of the VISNAV sensor system. The synchronous demodulation process uses digital heterodyning and decimating filter banks on a low-power fixed point digital signal processor, which improves the accuracy of the sensor measurements and the reliability of the system. This paper also presents an optimal and computationally efficient six-degree-of-freedom estimation algorithm using a new measurement model based on the attitude representation of modified Rodrigues parameters.
机译:航天器对接和编队飞行等航天器任务需要高精度的相对位置和姿态数据。深空任务需要使用替代技术。一种这样的技术是德克萨斯A&M大学开发的基于视觉的导航(VISNAV)传感器系统。 VISNAV包括与光源或信标组合的电光传感器。该专利传感器在焦平面上具有一个模拟检测器,其上升时间为几微秒。获得的精度优于2000年视野的一部分。作为VISNAV传感器系统的一部分,通过频分复用同时激活信标。同步解调过程在低功率定点数字信号处理器上使用数字外差和抽取滤波器组,从而提高了传感器测量的准确性和系统的可靠性。本文还基于修改后的Rodrigues参数的姿态表示,使用新的测量模型,提出了一种优化且计算效率高的六自由度估计算法。

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