Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering

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Publication Search Results

Now showing 1 - 10 of 13
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    An Evaluation of Spacecraft Pointing Requirements for Optically Linked Satellite Systems
    (Georgia Institute of Technology, 2017-08) Dahl, Trevor A.
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    An Evaluation of Spacecraft Pointing Requirements for Optically Linked Satellite Systems
    (Georgia Institute of Technology, 2017-04-08) Dahl, Trevor A.
    This study evaluates pointing requirements for free space optical data links of a satellite network. For many applications, optical links pose a distinct advantage over radio frequency (RF) links for their far higher data transmission rates. They can also be much lighter than RF antennas and require far less power, making them ideal transmission methods for small satellites and CubeSats. While more power efficiency is achieved thru narrow beam divergence, the narrower beams pose a technical challenge due to the higher pointing accuracy required for effective transmission. A general method for characterizing pointing tolerance, angular rates and angular accelerations for Line-of-Site (LoS) vectors is devised. Several case studies involving different (single-layer) constellation designs were evaluated. Varying degrees of inclination and offset of true anomaly from one plane to a connecting plane were evaluated and corresponding angular velocity and accelerations are reported. The study finds that the methodology outlined gives crucial information to assess pointing requirements against various constellation designs. This assessment can then drive the trade space for designs for optically linked networks from the hardware aboard each satellite, to the design of the satellite constellation itself.
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    The Development and Characterization of the Laser Ranging System on the RANGE CubeSat Mission
    (Georgia Institute of Technology, 2016-12-15) Levine, Zachary A.
    In Spring 2016, Georgia Tech Space Systems Design Laboratory (SSDL) will begin operations on the Ranging And Nanosatellite Guidance Experiment (RANGE) Mission. A crucial element of this mission is the Inter satellite ranging system. This system will determine the relative distance between the two RANGE sister CubeSats providing validation that such a system can function in orbit on a CubeSat. This document describes the factors considered in choosing the Voxtel Laser Range Finder (LRF) Module as the flight unit for both satellites, the integration and testing of this system, and the preliminary analysis of laboratory testing data to predict on-orbit performance.
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    Initial Characterization for LIDAR Remote Sensing from an UAV Platform
    (Georgia Institute of Technology, 2016-12) Lacerda, Michel Alves
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    Initial Characterization for LIDAR Remote Sensing from an UAV Platform
    (Georgia Institute of Technology, 2016-12) Lacerda, Michel Alves
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    Design and Application of a Circular Aperture Sun Sensor
    (Georgia Institute of Technology, 2016-12) Herman, Michael
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    Design and Application of a Circular Aperture Sun Sensor
    (Georgia Institute of Technology, 2016-12) Herman, Michael
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    The Development and Characterization of the Laser Ranging System on the RANGE CubeSat Mission
    (Georgia Institute of Technology, 2016-12) Levine, Zachary A.
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    Refinements to the General Methodology Behind Strapdown Airborne Gravimetry
    (Georgia Institute of Technology, 2016-08-05) Seywald, Kevin Lee
    Measuring Earth’s gravitational field has important applications in fields ranging from geodesy to exploration geophysics. Gravity field disturbances are typically no more than 100 mGal, hence requiring extremely precise sensors. The estimation of error sources inherent in these sensors, such as bias, scale factor, and drift rate, significantly improve the accuracy of these measurements, allowing for more precise gravity estimates. This research builds upon prior work using a strapdown Inertial Navigation System (INS) paired with Global Positioning Systems (GPS) for airborne platforms. In order to test and validate the processing algorithms, various simulated test cases were created. Several refinements were made to the traditional approach found in the literature, making the process more robust. Most notably, an analytical solution was developed for the quaternion integration problem, which is typically implemented using numerical methods. The analytical solution limits the integration error to machine precision, and removes any error propagation. Furthermore, the error equations implemented in the Kalman Filter were refined such that they better capture the true dynamics of the error-states. These changes to the existing methodology were validated by the proposed algorithm’s ability to accurately estimate the parameters used to generate the simulated flight data.