Target detecting in sea clutter with echo state network

This paper use echo state network (ESN), feedforward echo state network (FE-ESN) and tapped delay line with inputs (TDL-I) to predict the sea clutter time series and detect target embedded in sea clutter. The performance of predicting and detecting using these methods is compared. A set of time series from IPIX radar data is tested. Numerical experiments reveal that FE-ESN and TDL-I show high prediction precision and good detection effect as same as ESN. Furthermore, FE-ESN and TDL-I have simplication architecture.