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：提出了近地综合遥感和通信框架(NF-ISAC),其中遥感目标和多个通信用户都位于近地区域之内;为联合距离和角度估计提出了扩大的多信号分类算法(MUSIC),通信和遥感之间的性能权衡以拟议的两阶段算法为特征;数字结果显示:(1) NF-ISAC在距离估计方面与传统的远地ISAC相比具有额外优势;(2) 距离和角度估计之间的权衡。