OPTIMIZED SENSOR SELECTION FOR JOINT RADAR-COMMUNICATION SYSTEMS

Sensor array-based joint radar-communication (JRC) systems exploit adaptive beamforming to transmit radar and communication signals in their respective directions. Optimal sensor selection is anticipated as an attractive means to achieve superior performance with a low hardware cost because of the ever-decreasing cost of the sensor deployment compared to the radio frequency (RF) chains and processors. In this paper, we address optimal sensor selection for adaptive beamforming-based JRC systems by exploiting a constrained re-weighted l(1)-norm minimization with low computational complexity. We argue that, compared to the individual approaches, the grouped counterpart eases the hardware implementation by mollifying the unnecessary sensor switching and enables effective utilization of up-conversion chains. Simulation results clearly demonstrate the superior performance of the proposed strategies.