Research Article
Interferometric-Processing Based Small Space Debris Imaging
@INPROCEEDINGS{10.1007/978-3-319-73447-7_14, author={Yuxue Sun and Ying Luo and Song Zhang}, title={Interferometric-Processing Based Small Space Debris Imaging}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Radar imaging Interferometric processing Space debris Time-frequency analysis Sinusoidal frequency modulation}, doi={10.1007/978-3-319-73447-7_14} }- Yuxue Sun
Ying Luo
Song Zhang
Year: 2018
Interferometric-Processing Based Small Space Debris Imaging
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_14
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.
