A near-field integrated sensing and communications (NF-ISAC) framework is proposed, where both a sensing target and multiple communication users are located within the near-field region. An extended multiple signal classification (MUSIC) algorithm is proposed for the joint distance and angle estimation. The performance tradeoff between communication and sensing is characterized by the proposed two-stage algorithm. Numerical results reveal 1) the additional advantage of the NF-ISAC in terms of distance estimation compared to the conventional far-field ISAC, and 2) the tradeoff between the distance and angle estimation.

翻译：本文提出了一种近场集成感知与通信（NF-ISAC）框架，其中感知目标与多个通信用户均位于近场区域内。针对距离与角度的联合估计问题，提出了一种扩展的多重信号分类（MUSIC）算法。通过所提出的两阶段算法刻画了通信与感知之间的性能权衡。数值结果表明：1）与传统的远场ISAC相比，NF-ISAC在距离估计方面具有额外优势；2）距离估计与角度估计之间存在权衡关系。