Joint Design of Waveform and Filter for OFDM MIMO Dual-Function Radar-Communication Systems under Satellite-UAV Framework

This paper considers the joint design of transmit waveforms and receive filters for orthogonal frequency division multiplexing (OFDM) multiple-input-multiple-output (MIMO) dual-function radar communication (DFRC) systems under satellite-unmanned aerial vehicle (UAV) framework. We use the signal-to-clutter-plus-noise ratio (SCNR) as the design metric and introduce dimensionality reduction processing to ensure the target detection performance and reduce computational complexity, respectively. Meanwhile, the multi-user interference (MUI) is constrained to maintain the quality of service for communication. Additionally, we also impose a similarity constraint on the designed waveforms to obtain a good ambiguity function. Finally, an iterative algorithm based on cyclic optimization and semi-definite relaxation (SDR) is presented to tackle the joint optimization problem. The simulation experiments have verified that the designed waveforms and filters can achieve sub-optimal clutter suppression performance, while ensuring low symbol error rate and satisfying achievable communication rate.