Low-PAPR DFRC MIMO-OFDM Waveform Design for Integrated Sensing and Communications

In this paper, we explore a multiple-input multiple-output (MIMO) system with orthogonal frequency division multiplexing (OFDM) transmissions and study the low peak-to-average power ratio (PAPR) MIMO-OFDM waveform design for integrated sensing and communications (ISAC). This is done by leveraging a weighted objective function on both communication and radar performance metrics under power and PAPR constraints. The formulated optimization problem can be equivalently transformed into several sub-problems which can be parallelly solved by the semi-definite relaxation (SDR) method and the optimal rank-1 solution can be obtained in general. The feasibility, effectiveness, and flexibility of the proposed low-PAPR MIMO-OFDM waveform design method are demonstrated by a range of simulations on communication sum rate, symbol error rate as well as radar beampattern and detection probability.

Automated summary

In this paper, a low peak-to-average power ratio (PAPR) MIMO-OFDM waveform design method is proposed for integrated sensing and communications (ISAC). By optimizing communication and radar performance metrics under power and PAPR constraints, the formulated problem is transformed into sub-problems which can be solved parallelly using the SDR method. The simulation results demonstrate the feasibility and effectiveness of the proposed method.