Electromagnetic Property Sensing Based on Diffusion Model in ISAC System

被引:0
|
作者
Jiang, Yuhua [1 ]
Gao, Feifei [1 ]
Jin, Shi [2 ]
Jun Cui, Tie [3 ]
机构
[1] Tsinghua Univ THUAI, Inst Artificial Intelligence, Beijing Natl Res Ctr Informat Sci & Technol BNRist, State Key Lab Intelligent Technol & Syst, Beijing 100190, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[3] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated sensing and communication; Diffusion models; Artificial intelligence; Three-dimensional displays; Vectors; Point cloud compression; Covariance matrices; Array signal processing; Shape; Receiving antennas; Electromagnetic (EM) property sensing; integrated sensing and communications (ISAC); diffusion model; generative artificial intelligence (GAI); NEAR-FIELD; SCATTERING; NETWORK;
D O I
10.1109/TWC.2024.3516008
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Integrated sensing and communications (ISAC) has opened up numerous game-changing opportunities for future wireless systems. In this paper, we develop a novel ISAC scheme that utilizes the diffusion model to sense the electromagnetic (EM) property of the target in a predetermined sensing area. Specifically, we first estimate the sensing channel by using both the communications and the sensing signals echoed back from the target. Then we employ the diffusion model to generate the point cloud that represents the target and thus enables 3D visualization of the target's EM property distribution. In order to minimize the mean Chamfer distance (MCD) between the ground truth and the estimated point clouds, we further design the communications and sensing beamforming matrices under the constraint of a maximum transmit power and a minimum communications achievable rate for each user equipment (UE). Simulation results demonstrate the efficacy of the proposed method in achieving high-quality reconstruction of the target's shape, relative permittivity, and conductivity. Besides, the proposed method can sense the EM property of the target effectively in any position of the sensing area.
引用
收藏
页码:2036 / 2051
页数:16
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