Multiplicative multifractal modeling method for HF sea clutter

Accurate modeling of sea clutter and robust detection of low observable targets within sea clutter are the important problems in the field of remote sensing and radar signal processing. In this paper, a multiplicative multifractal process is introduced for the modeling sea clutter amplitude time series; a double parameter model which outperforms the double exponential model and Gaussian model is proposed and applicable for distribution fitting for multiplier of multiplicative multifractal modeling of real sea clutter. In addition, a short time generalized dimension spectrum based measurements of matching goodness is proposed and analyzed carefully, new model for HF sea clutter is built and reasonability of STGDs based measurements has been proven by simulation analysis. This modeling is computable rapidly and applicable in the research of target detection in HF sea-clutter background.

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