A Method for the Micro-Motion Signal Separation and Micro-Doppler Extraction for the Space Precession Target
Autor: | Cunqian Feng, Sisan He, Xuguang Xu |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Physics
General Computer Science Scattering 010401 analytical chemistry General Engineering singular value decomposition Centroid 020206 networking & telecommunications 02 engineering and technology 01 natural sciences Signal 0104 chemical sciences joint approximate diagonalization of eigen-matrices Matrix (mathematics) Singular value Micro-motion Singular value decomposition 0202 electrical engineering electronic engineering information engineering Precession General Materials Science Point (geometry) lcsh:Electrical engineering. Electronics. Nuclear engineering micro-Doppler extraction Algorithm lcsh:TK1-9971 |
Zdroj: | IEEE Access, Vol 8, Pp 130392-130404 (2020) |
ISSN: | 2169-3536 |
Popis: | Aiming at the problem of micro-motion signal separation and micro-Doppler extraction of the precession target, a new method based on singular value decomposition (SVD) and joint approximate diagonalization of eigen-matrices (JADE) is proposed in this paper. Firstly, the micro-motion model of space precession target is established, and the micro-Doppler and scattering characteristics are analyzed to establish the echo signal model of the target. Secondly, through simplifying the signal model of scattering point and building the signal matrix of different signal lengths, the singular value ratio sequence is constructed by the method of SVD to estimate the precession period of the target. Thirdly, the singular vectors of different observation periods are extracted, the observation matrix is constructed, and then the JADE algorithm is adopted to separate the micro-motion signal of each scattering point. Finally, the clustering analysis is used to denoise the time-frequency graph and the centroid calculation is employed to extract the micro-Doppler of each scattering point. Simulation results show that this method of good robustness can effectively separate and extract the micro-Doppler of the scattering points. |
Databáze: | OpenAIRE |
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