Array partitioning for multi-task operation in dual function MIMO systems

We consider the implementation of a dual function radar communications (DFRC) system in the context of a multiple input multiple output (MIMO) radar. We propose an aperture sharing approach where we partition the transmit and receive arrays into subarrays such that each subarray serves one function or task. This results in separate hardware resources being allocated for each task, thereby ensuring the independent operation of the radar and communication tasks. We formulate the problem as an array partitioning strategy and propose a method to factorize the transmit and receive radar arrays. The result is a partitioning problem that can be solved through a convex optimization strategy. We develop the solution and evaluate it using simulations. The results show the effectiveness of the proposed approach in controlling the mutual interference and delivering the required radar and communications performance.