Modeling And Simulation Methods Of Sea Clutter Based On Measured Data

The modeling and simulation of sea clutter are important in detecting radar targets in sea backgrounds. Because the nonstationary property of sea clutter is ignored in traditional statistical models, a new method based on measured sea clutter is proposed in this paper. First, we convert the measured sea clutter data under different sea conditions [xI, xQ] into real amplitude S-M. Instantaneous phase theta is then extracted from the coherent radar's baseband data. Second, we select a candidate statistic model and estimate its parameters based on S-M by utilizing maximum likelihood estimation. Finally, we generate random series A using corresponding random data generator and then add instantaneous phase theta into A, i.e., y = Ae(j theta), to obtain simulated sea clutter series. Through a comparison of simulated sea clutter and measured sea clutter data via histogram, the validity of the proposed method is proved.