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