Data Extrapolation Based CLEAN Algorithm for One Dimensional Scattering Center Extraction

A novel scattering center extraction algorithm based on data extrapolation and continuous parameter genetic algorithm (CGA)-based CLEAN is presented. The frequency domain data is extrapolated using AR modeling to obtain high resolved range profiles and then initial estimates of scattering centers obtained from the peaks of these profiles are used to increase the convergence rate of the CLEAN algorithm. Simulation results show that the proposed method requires less computation time compared to classical evolutionary programming based approaches and it has high resolution properties for limited frequency band data.