To facilitate space debris characterization, recognition, and cataloguing in space situation awareness, this paper represents the incomplete and phase-corrupted echoes of micromotion space debris using a nonparametric joint time-frequency (JTF) dictionary and obtains the sparse and phase-corrected JTF signature by iterative optimization. The proposed method avoids matrix inversion to reduce the computational complexity and can be extended to range-instantaneous-Doppler imaging readily. Simulation results have proved the effectiveness of the proposed method.
Obtaining JTF-Signature of Space-Debris From Incomplete and Phase-Corrupted Data
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 3 ; 1169-1180
2017-06-01
1415924 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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