Super-resolution imaging of forward-looking scan SAR

A novel algorithm for super-resolution imaging based on the Compressive sensing theory for forward-looking SAR is proposed.Azimuth resolution is achieved by laying the practical linear array in a Multiple-Input and Multiple-Output mode.A narrow radiation pattern could be obtained using the beam-form technique to observe the small scene,which provides the sparsity prior of the SAR image.Then regularization is constructed by exploiting the sparsity prior and super-resolution could be realized by solving the optimization.Enhanced imaging resolution could be captured with a limited length of array,lowing the cost and complexity of the system.Numeric simulation results confirm the validation of the proposed algorithm.