High-Precision Positioning with Continuous Delay and Doppler Shift using AFT-MC Waveforms

TL;DR

This paper introduces a novel AFT-MC waveform-based system for high-precision localization that outperforms OFDM, with a low-complexity estimation algorithm and theoretical performance bounds.

Contribution

It develops a new MIMO AFT-MC waveform system for integrated localization and communication with a derived channel model and estimation algorithm.

Findings

AFT-MC outperforms OFDM in localization accuracy

The proposed algorithm achieves near CRLB performance

Insights on AFT-MC parameter impacts on localization

Abstract

This paper explores a novel integrated localization and communication (ILAC) system using the affine Fourier transform multicarrier (AFT-MC) waveform. Specifically, we consider a multiple-input multiple-output (MIMO) AFT-MC system with ILAC and derive a continuous delay and Doppler shift channel matrix model. Based on the derived signal model, we develop a two-step algorithm with low complexity for estimating channel parameters. Furthermore, we derive the Cram\'er-Rao lower bound (CRLB) of location estimation as the fundamental limit of localization. Finally, we provide some insights about the AFT-MC parameters by explaining the impact of the parameters on localization performance. Simulation results demonstrate that the AFT-MC waveform is able to provide significant localization performance improvement compared to orthogonal frequency division multiplexing (OFDM) while achieving the CRLB of location estimation.