Tunable High‐Resolution Synthetic Aperture Radar Imaging

We have recently introduced a modification of the multiple signal classification method for synthetic aperture radar. This incorporates user-defined parameter, ϵ, that allows tunable quantitative high-resolution imaging. However, this requires relatively large single-to-noise ratios (SNR) to work effectively. Here, we first identify fundamental mechanism in produces images. Then introduce Kirchhoff Migration (KM) uses same produce tunable, modified KM can be applied low SNR measurements. show simulation results demonstrate features method.