Abstract
The increasing amount of space debris poses a growing challenge in the development of space travel. In previous work, a proposed system comprising of a low budget space-borne passive radar based on CubeSAT, flying in Low Earth Orbit (LEO), demonstrated promising results in terms of space debris detection performance. In this work, a novel shadow inverse synthetic aperture radar (SISAR) model for space debris imaging based on nanosatellite is presented. An analysis of the received forward scattering signal is provided along with a novel model for moving transmitters and receivers SISAR imaging. Using simulated data and assuming different scenarios, the performance of the new algorithm is assessed; wherein, a classification scheme is applied using the output of the SISAR algorithm for classification between simple target shapes.
Original language | English |
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Pages (from-to) | 1192-1201 |
Number of pages | 10 |
Journal | IET Radar Sonar and Navigation |
Volume | 14 |
Issue number | 8 |
Early online date | 23 Apr 2020 |
DOIs | |
Publication status | Published - 1 Aug 2020 |
Keywords
- space debris
- nanosatellite
- SISAR imaging