OTFS Waveform Design Based on WFRFT for Integrated Sensing and Communication
Zhenduo Wang, Zhipeng Liu, Shuai Hao, Xingyu Chen, Ruoyu Zhang
Abstract
As an emerging technology that integrates radar and communication functions, the integrated sensing and communication (ISAC) is regarded as the key to future mobile communication requirements. In this paper, we propose an ISAC framework based on weighted-type fractional Fourier transform orthogonal time frequency space (WFRFT-OTFS) waveform, which can flexibly adjust parameters to optimize communication and sensing performances jointly. Additionally, the sensing features of WFRFT-OTFS waveform are deeply investigated for different weighting orders. Furthermore, peak-to-average power ratio (PAPR) and out-of-band power (OOBP) of WFRFT-OTFS waveform are suppressed through a combined windowing and selected mapping algorithm, which is positive for waveform design in ISAC systems.