@inproceedings{277a53ce95dd4a73935613d508bc5d3e,
title = "Light curve analysis using wavelets",
abstract = "A method is presented that uses wavelet decomposition in the analysis of light curves. Wavelet decomposition allows the frequency of a signal to be determined over time, and when applied to the light curve reflected by a space object, is used to determine the angular rate over time. This allows for detection in changes of the spacecraft{\textquoteright}s attitude state. Several cases of attitude maneuvers are presented, and the wavelet decomposition process is demonstrated using simulated and experimentally obtained data. The process is also applied to real observations of the GOES-16 satellite. Wavelets allow for better temporal and frequency resolution compared to traditional frequency-domain methods such as the Short-Time Fourier Transform.",
author = "Dianetti, \{Andrew D.\} and Crassidis, \{John L.\}",
note = "Publisher Copyright: {\textcopyright} 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All right reserved.; AIAA Guidance, Navigation, and Control Conference, 2018 ; Conference date: 08-01-2018 Through 12-01-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.2514/6.2018-1605",
language = "English",
isbn = "9781624105265",
series = "AIAA Guidance, Navigation, and Control Conference, 2018",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Guidance, Navigation, and Control",
}