SUPERRESOLUTION RANGE-DOPPLER IMAGING

The general observation model for range-Doppler imaging is established from the point of view of multiple scatter-point localisation, and th e optimum imaging procedure based on the maximum likelihood principle is given. Pursuing simplified procedures, the authors present three su per-resolution range-Doppler imaging methods, including the linear pre diction data extrapolation DFT (LPDEDFT), the dynamic optimisation lin ear least-squares (DOLLS), and the Hopfield neural network nonlinear l east-squares (HNNNLS) methods. The live data of a metallised scale mod el B-52 aircraft mounted on a rotating platform in a microwave anechoi c chamber and a flying Boeing-727 aircraft as well as the simulated da ta of an aircraft were processed. The imaging results indicate that, c ompared to the conventional Fourier method, a higher resolution for th e same effective bandwidth of transmitted signals and total rotation a ngle of the object may be obtained by these super-resolution approache s.