Mobile platform foresight super-resolution imaging method based on sparse Bayesian learning framework

The invention discloses a mobile platform foresight super-resolution imaging method based on a sparse Bayesian learning framework. The method comprises the following steps: establishing a mobile platform-oriented single-base foresight scanning imaging model; a single-base foresight scanning imaging model is utilized to calculate a foresight scene scattering coefficient observation value, and an over-complete dictionary matrix is constructed; aiming at each range gate of the foresight scene scattering coefficient, constructing a Bayesian posterior probability problem of the foresight scene scattering coefficient; converting a Bayesian posterior probability solving problem into a maximum likelihood solving problem based on studen-t distribution according to a foresight scene scattering coefficient observation value and an over-complete dictionary matrix by using a studen-t distribution thought; solving a maximum likelihood problem based on studen-t distribution by using an expectation maximization idea to obtai