Radar Waveform Design for Sensing and Communications Coexistence

The paper proposes an optimization-based method to create radar waveforms for cognitive MIMO systems that coexist with communication systems. We develop a bi-objective optimization problem to balance the objectives of achieving spectrum compatibility and minimizing auto- and cross-correlation sidelobes. We solve the problem iteratively using the Block Successive Upper-bound Minimization (BSUM) framework, ensuring objective function convergence. Numerical results demonstrate the superiority of the proposed method over other methods. The approach can enhance the coexistence of cognitive radar and communication systems by designing waveforms with optimized spectral characteristics.