Theoretical aspects of array radar imaging via fusing the experiment design and regularization techniques

We address a new approach to solving the radar imaging problems stated and treated as ill-posed inverse problems of restoration of the spatial spectrum pattern of the wavefield sources distributed in the environment by processing the radar data signals distorted in the stochastic measurement channel. By exploiting the idea of combining the experiment design (ED) and descriptive regularization (R) theory methods for scattering inverse problems solution we propose a fused experiment-design-regularization (EDR) technique for radar image formation. With this technique we present the EDR-based interpretation of a family of the conventional array imaging algorithms and propose some their modifications to enhance the resolution performances of the resulting radar images.