ISAR superresolution imaging based on APES method

Abstract

Modern spectral estimation techniques have been applied to ISAR imaging in order to enhance the resolution for many years. The application of APES (Amplitude and Phase EStimation) filtering approach in ISAR imaging is presented. APES is an adaptive filtering approach which is referred to as the amplitude and phase estimation of a sinusoid, for complex spectral estimation. The APES method can yield more accurate spectral estimates with much lower sidelobes and narrower spectral peaks than FFT method and ESPRIT method. Therefore, the higher resolution can be obtained by using APES method instead of FFT method and ESPRIT method when the target flies smoothly. The simulation results show the effectiveness of APES method.