Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network

摘要

To improve radar detection of targets in the presence of sea clutter, polarization decomposition analysis is used to output data to a neural network. To detect the target in heavy sea clutter, the received signal of each range bin is decomposed for polarimetric analysis. By applying the decomposed signal to the Self Organizing Map (SOM) network, the bin that contains the actual target range bin is identified. In simulations the algorithm located the target successfully in conditions of both mild and heavy clutter.