The inversion of sea state based on the micro-Doppler analysis of sea-clutter

The real sea-clutter data are always hard to analyze due to their instinct complexity, large scale non-stationary, and lack of fundamental understanding of the natural dynamics. Measurable modeling of sea clutter is an important precondition in many research areas and practical applications, such as salvage and marine radar signal processing. However, few works have been down on the time-frequency analysis of sea clutter, especially no effective method for sea state inversion from sea clutter has been proposed. In this work, the author take into account the motion model of sea surface in typical scenarios via time-frequency and micro-Doppler effect analysis. Different contributions of the waves´ velocity may provide intuitionistic ISAR images and contain certain motion parameters, from which certain sea state parameters might be inversed. Both theoretical simulation and experimental results indicate the usefulness of the model and method proposed in this work.