A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks

Abstract

A vehicular network embodies a specialized variant of wireless network systems, characterized by its capability to facilitate inter-vehicular communication and connectivity with the encompassing infrastructure. With the rapid development of wireless communication technology, high-speed and reliable communication has become increasingly important in vehicular networks. It has been demonstrated that orthogonal time frequency space (OTFS) modulation proves effective in addressing the challenges posed by high-mobility environments, as it transforms the time-varying channels into the delay-Doppler domain. Motivated by this, in this paper, we focus on the theme of integrated sensing and communication (ISAC)-assisted OTFS receiver design, which aims to perform sensing channel estimation and communication symbol detection. Specifically, the estimation of the sensing channel is accomplished through the utilization of a deep residual denoising network (DRDN), while the communication symbol detection is performed by orthogonal approximate message passing (OAMP) processing. The numerical results demonstrate that the proposed ISAC system exhibits superior performance and robustness compared to traditional methods, with a lower complexity as well. The proposed system has great potential for future applications in wireless communication systems, especially in challenging scenarios with high mobility and interference.

ISAC towards 6G Satellite–Terrestrial Communications: Principles, Status, and Prospects

“…In [47], the authors proposed an efficient approximate maximum likelihood algorithm based on OTFS, which is superior for distance and velocity estimation. The authors of [48] used OTFS for ISAC-assisted receiver design and utilized the novel deep residual denoising network framework to achieve effective channel estimation, which has higher performance and system robustness. An ISAC framework based on OTFS modulation was proposed in [49], which adopts a matched filter radar sensing scheme based on fractional parameter estimation to achieve better BER and estimation performance.…”