Electromagnetic Property Sensing and Channel Reconstruction Based on Diffusion Schrödinger Bridge in ISAC

Yuhua Jiang, Feifei Gao, Shi Jin
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Abstract

Integrated sensing and communications (ISAC) has emerged as a transformative paradigm for next-generation wireless systems. In this paper, we present a novel ISAC scheme that leverages the diffusion Schrodinger bridge (DSB) to realize the sensing of electromagnetic (EM) property of a target as well as the reconstruction of the wireless channel. The DSB framework connects EM property sensing and channel reconstruction by establishing a bidirectional process: the forward process transforms the distribution of EM property into the channel distribution, while the reverse process reconstructs the EM property from the channel. To handle the difference in dimensionality between the high-dimensional sensing channel and the lower-dimensional EM property, we generate latent representations using an autoencoder network. The autoencoder compresses the sensing channel into a latent space that retains essential features, which incorporates positional embeddings to process spatial context. The simulation results demonstrate the effectiveness of the proposed DSB framework, which achieves superior reconstruction of the targets shape, relative permittivity, and conductivity. Moreover, the proposed method can also realize high-fidelity channel reconstruction given the EM property of the target. The dual capability of accurately sensing the EM property and reconstructing the channel across various positions within the sensing area underscores the versatility and potential of the proposed approach for broad application in future ISAC systems.
基于 ISAC 扩散薛定谔桥的电磁特性传感和通道重构
综合传感与通信(ISAC)已成为下一代无线系统的变革性范式。在本文中,我们提出了一种新的 ISAC 方案,该方案利用扩散薛定谔桥(DSB)来实现对目标电磁(EM)特性的感知以及无线信道的重建。DSB 框架通过建立一个双向过程将电磁特性感应和信道重建连接起来:前向过程将电磁特性分布转化为信道分布,而后向过程则从信道重建电磁特性。为了处理高维传感信道和低维电磁特性之间的维度差异,我们使用自动编码器网络生成潜在表示。仿真结果表明了所提出的 DSB 框架的有效性,该框架能够出色地重建目标的形状、相对介电常数和电导率。此外,鉴于目标的电磁特性,所提出的方法还能实现高保真信道重建。准确感知电磁特性和在感知区域内不同位置重建信道的双重能力证明了所提出方法的多功能性和在未来 ISAC 系统中广泛应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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