Retrieving surface-based duct parameters from radar sea clutter using a particle swarm optimization approach

This paper describes a technique to retrieve, from radar sea clutter, parameters defining a surface-based duct using a simple improved PSO approach. The whole PSO optimization procedure is divided into two steps. Firstly, all four parameters are optimized using a standard PSO. Secondly, three of them are fixed and only the last one is optimized to maximum iterations using a standard PSO. And a model of radar cross section different from that used in previous papers is introduced. Simulation results show that PSO gets a better performance than GA method, where the results are obtained from 200 Monte Carlo simulations. (4 pages)