An AFDM-Based Integrated Sensing and Communications

TL;DR

This paper introduces an AFDM-based integrated sensing and communications system that uses novel parameter estimation methods to effectively sense targets and communicate simultaneously, especially in high mobility scenarios.

Contribution

It proposes two new parameter estimation techniques for AFDM-based ISAC systems that decouple delay and Doppler shift, enhancing sensing in high mobility environments.

Findings

Effective target sensing in high mobility scenarios.

Decoupling delay and Doppler shift improves sensing accuracy.

Numerical results confirm system robustness in large Doppler shifts.

Abstract

This paper considers an affine frequency division multiplexing (AFDM)-based integrated sensing and communications (ISAC) system, where the AFDM waveform is used to simultaneously carry communications information and sense targets. To realize AFDM-based sensing functionality, two parameter estimation methods are designed to process echoes in the time domain and the discrete affine Fourier transform (DAFT) domain, respectively. It allows us to decouple delay and Doppler shift in the fast time axis and can maintain good sensing performance even in large Doppler shift scenarios. Numerical results verify the effectiveness of our proposed AFDM-based system in high mobility scenarios.