An Efficient ISAR Image Simulation Method for 3-D Electric-Large PEC Rough Surface

This article presents a fast inverse synthetic aperture radar (ISAR) image simulation algorithm for electric-large rough surfaces based on the 3-D beam method (BSM) and point spreading function (PSF). It first computes induced current with BSM then convolutes it PSF to generate ISAR image. The decomposes large incident into overlapped truncated sub-beams. Each sub-beam illuminates small region of surface, impedance matrix is remarkably reduced enough full-wave electromagnetic (EM) scattering computation. edge energy suppression enables each sub-block be calculated independently parallelly. convolution kernel derived at central frequency angle. numerical demonstrates that proposed BSM-PSF reduces unknowns moment (MoM) equation avoids redundant solutions sweep frequencies angles while keeping correlation traditional Fourier transform (FFT) over 0.9. Moreover, high-resolution imaging, interpolated derived.