Cognitive Waveform Design for Dual-functional MIMO Radar-Communication Systems

The recently proposed dual-functional radar-communication (DFRC) system aims to save more resources by sharing the hardware platform and spectrum while providing users with both communication and sensing services. However, in previous works of DFRC systems, the issue of adaptively designing waveforms without prior information on targets in a dynamic environment has not been studied yet. In this paper, we propose a cognitive dual-functional radar-communication (CDFRC) system with closed-loop feedback to sense the targets and design waveform with a dynamic beampattern to address this issue. We construct a generalized likelihood ratio test (GLRT) target detection scheme to obtain information on targets and propose a cognitive waveform design method utilizing feedback information. Our proposed system can jointly optimize the multi-user interference (MUI) and detection probabilities of potential targets while ensuring the detection performance of detected targets. Numerical results indicate that, compared with previous work, our proposed system can effectively detect the target and adaptively design the waveform to ensure the ability of target detection and communication.