Efficient Radar Imaging Using Partially Synchronized Distributed Sensors

In this paper, using a model of unsynchronized distributed radar sensors and a FISTA based reconstruction algorithm, we propose a modified version of the algorithm that allows for automatic selection of regularization parameters based on the easily reconstructed image using the conventional back-projection method, despite being blurred and filled with artifacts. This eliminates the prerequisite empirical search and enhances the efficiency of the algorithm. Additionally, we introduce an efficient implementation based on the Fast Fourier Transform (FFT) that exploits the model structure to reduce the algorithm running time as well as its memory requirements compared to direct implementation. The performance of the proposed algorithm is depicted to further increase its attractiveness.