TY - JOUR
T1 - Rotational Status Inversion of Asteroids Based on Ellipsoidal model
AU - Wang, Jiaxing
AU - Dong, Zehua
AU - Ding, Zegang
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Optical telescopes and ground-based radar are essential tools for celestial object detection. Optical data can be used to infer the rotational characteristics of asteroids but cannot provide small-scale three-dimensional shapes of asteroids. Ground-based radar can offer high-resolution delay-Doppler images, allowing for the reconstruction of small-scale asteroid structure and rotational characteristics. However, this inversion method relies on initial values provided by optical measurements regarding the rotational state. For asteroids without long-term accumulated optical data, the parameter range to be inverted increases dramatically with existing methods. Moreover, due to significant parameter coupling, the inversion accuracy significantly decreases. To address this issue, we propose a method for initializing rotational parameters using ellipsoidal shape representation in the absence of optical data. We apply the PSO optimization algorithm and validate the effectiveness of this method through numerical simulations.
AB - Optical telescopes and ground-based radar are essential tools for celestial object detection. Optical data can be used to infer the rotational characteristics of asteroids but cannot provide small-scale three-dimensional shapes of asteroids. Ground-based radar can offer high-resolution delay-Doppler images, allowing for the reconstruction of small-scale asteroid structure and rotational characteristics. However, this inversion method relies on initial values provided by optical measurements regarding the rotational state. For asteroids without long-term accumulated optical data, the parameter range to be inverted increases dramatically with existing methods. Moreover, due to significant parameter coupling, the inversion accuracy significantly decreases. To address this issue, we propose a method for initializing rotational parameters using ellipsoidal shape representation in the absence of optical data. We apply the PSO optimization algorithm and validate the effectiveness of this method through numerical simulations.
KW - delayed Doppler images
KW - ellipsoids
KW - rotation measurements
KW - shape modeling
UR - http://www.scopus.com/inward/record.url?scp=85203132811&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1798
DO - 10.1049/icp.2024.1798
M3 - Conference article
AN - SCOPUS:85203132811
SN - 2732-4494
VL - 2023
SP - 4244
EP - 4247
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -