Abstract
The detection and recognition of small space debris is an important task for space security. This paper proposed an interferometric-processing based imaging method for small space debris. First, based on L-shaped three antennas system, the signal model for interferometric imaging is established. Then aiming at the fact that the size of some space debris is smaller than range resolution, time-frequency analysis is adopted to separate echoes of different scatterers. The mechanism of time-frequency analysis for echo from three antennas is deduced in detail. It is proved that the phase for interferometric processing is reserved in the process of time-frequency analysis. Finally through interferometric processing, the positions and image of scatterers can be reconstructed. Simulations verify the validity of the proposed method.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China under Grant 61571457 and the Science Foundation for Post Doctorate of China under Grant 2015M570815.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sun, Y., Luo, Y., Zhang, S. (2018). Interferometric-Processing Based Small Space Debris Imaging. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_14
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DOI: https://doi.org/10.1007/978-3-319-73447-7_14
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