A SPATIAL-TEMPORAL DYNAMICAL MODEL FOR MULTIPATH SCATTERING FROM THE SEA

A new method for modeling sea scattered signals is proposed in this pa per. Instead of using a probabilistic model, a spatial temporal dynami cal model is employed to model the sea scatter phenomenon. Our approac h is empirical in the sense that a model is constructed based on exper imental data. We extend the approach of using a temporal predictor for temporal dynamical system reconstruction to a spatial temporal predic tor for reconstructing a spatial temporal one. The basic spatial tempo ral dynamical model used in this study is a couple map lattice (CML) r ather than the conventional partial differential equation. The Radial Basis Function (RBF) neural network is incorporated into the CML to en hance the function approximation ability, and the autocorrelation func tion is used to determine the spatial effect across individual channel . An array antenna was used to collect real spatial temporal sea scatt ered data for this study. Preliminary results shows that the new model provides an accurate description of the sea scattered signals, and ha s the potential for signal processing applications.