A near-field integrated sensing and communications (ISAC) framework is proposed, which introduces an additional distance dimension for both sensing and communications compared to the conventional far-field system. In particular, the Cramer-Rao bound for the near-field joint distance and angle sensing is derived, which is minimized subject to the minimum communication rate requirement of each user. Both fully digital antennas and hybrid digital and analog antennas are investigated. For fully digital antennas, a globally optimal solution of the ISAC waveform is obtained via semidefinite relaxation. For hybrid antennas, a high-quality solution is obtained through two-stage optimization. Numerical results demonstrate the performance gain introduced by the additional distance dimension of the near-field ISAC over the far-field ISAC.
翻译:提出了一种近场集成感测和通信(ISAC)框架,与传统的远场系统相比,引入了一个额外的距离维度,用于感测和通信。具体来说,导出了近场距离和角度感测的克拉美罗界,并在满足每个用户最小通信速率要求的前提下进行最小化。研究了全数字天线和混合数字和模拟天线。对于全数字天线,通过半定松弛法得到了ISAC波形的全局最优解。对于混合天线,通过两阶段优化得到了高质量的解。数值结果证明,相较于远场ISAC,近场ISAC提高了性能。