Abstract
In this paper, a novel method based on a dynamic mode decomposition (DMD) for sea clutter analysis is proposed. It extracts the temporal patterns and corresponding dynamic modes from the sea clutter simultaneously. Moreover, the temporal patterns display similar properties with traditional analysis using Doppler spectrum. The corresponding dynamic modes represent the cardinal feature within the sea clutter. To demonstrate the effectiveness of the proposed method, the measured sea clutter data collected by IPIX radar is analyzed. It is shown that DMD spectrum has the same frequency-shift and similar amplitude with the Doppler Spectrum. In addition, the Probability Density Function (PDF) of dynamic modes in high sea condition shows the long tail phenomenon. Hence, this data-driven decomposition method can provide an effective two-dimensional subspace (Spectrum-Mode) for the detection of targets on the sea surface.
Recommended Citation
Y. Zhang et al., "Analysis Of Sea Clutter Using Dynamic Mode Decomposition," International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3752 - 3755, article no. 8897871, The Institute of Engineering and Technology, Jul 2019.
The definitive version is available at https://doi.org/10.1109/IGARSS.2019.8897871
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Data-Driven; Dynamic Mode Decomposition (DMD); IPIX Radar; Sea Clutter
International Standard Book Number (ISBN)
978-153869154-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 The Institute of Engineering and Technology, All rights reserved.
Publication Date
01 Jul 2019
