Low-Complexity Waveform Design for PAPR Reduction in Integrated Sensing and Communication Systems Based on ADMM

Abstract

With the development of integrated sensing and communication (ISAC) systems, waveform design is currently attracting extensive attention. At the same time, subcarrier superposition can lead to the high peak-to-average power ratio (PAPR) problem in orthogonal frequency-division multiplexing (OFDM). Therefore, in this article, we investigate the low PAPR waveform design for OFDM-based ISAC systems. A weighted optimization problem with the constraint of zero integrated sidelobe level (ISL) is formulated with the aim of flexibly balancing between PAPR and communication performance and an alternating direction method of multipliers (ADMMs)-based algorithm is proposed to address this issue. Moreover, the nonlinear power amplifier is also considered to demonstrate the impact of PAPR on ISAC systems. Simulation results demonstrate that the proposed algorithm can effectively reduce the PAPR and achieve a performance trade-off between PAPR and communication performance.