Adaptive Bit/Power Allocation With Beamforming for Dual-Function Radar-Communication

To enhance the bit error rate (BER) performance for the dual-function radar-communication (DFRC), we investigate the problem of adaptive bit/power allocation with beamforming. Firstly, we formulate the bit/power allocation problem as a BER minimization problem subject to the radar signal-to-interference-plus-noise ratio (SINR), sidelobe information (SLI), and available resource constraints. Secondly, we devise an alternation optimization algorithm that divides the non-convex minimization problem into several low-complexity and iteratively updated subproblems. Finally, simulation results show that better communication performance, in terms of BER, can be obtained compared to state-of-the-art algorithms.