AI 中文总结
针对ISAC中传统几何重建方法依赖相位信息的问题，提出MVLA-GR方法，仅用时延和功率观测重建目标几何，经仿真与实测验证其有效性。
AI 中文摘要
集成传感与通信（ISAC）技术使无线系统可复用通信信号开展环境传感，其中重建周围物体几何是典型传感任务。但诸多传统方法依赖相干处理，需精确相位信息，而实际通信系统（尤其高频段）常难以保障该条件。为解决此问题，本文提出基于信道冲激响应（CIR）测量的多视图似然累加几何重建（MVLA-GR）方法，仅利用时延和功率观测值，无需相位信息。该方法从各观测中提取主导多径分量，对每个候选空间位置，累加跨视图中传播距离与该位置匹配的分量作为支撑证据；引入软距离匹配核以容忍距离估计误差和视角相关散射迁移，将各分量接收功率作为可靠性权重；结合响应幅值与角支撑连续性的联合阈值策略，将连续支撑图转换为二值几何估计。对典型及复杂目标的射线追踪仿真，以及36 GHz下的真实车辆测量结果表明，MVLA-GR可有效恢复目标几何，为ISAC提供低复杂度的无相位解决方案。
英文摘要
Integrated sensing and communication (ISAC) enables wireless systems to reuse communication signals for environmental sensing, where reconstructing the geometry of surrounding objects is a representative sensing task. However, many conventional methods rely on coherent processing and require accurate phase information, which is often hard to guarantee in practical communication systems, particularly at high carrier frequencies. To address this problem, this paper proposes a Multi-View Likelihood Accumulation Geometry Reconstruction (MVLA-GR) method based on channel impulse response (CIR) measurements, which uses only delay and power observations without requiring phase information. The method extracts dominant multipath components from each observation, and for each candidate spatial location, accumulates components across views whose propagation distances match the location as supporting evidence. A soft distance-matching kernel is introduced to tolerate range estimation errors and viewpoint-dependent scattering migration, and the received power of each component is used as a reliability weight. A joint thresholding strategy combining response magnitude and angular support continuity then converts the continuous support map into a binary geometry estimate. Ray-tracing simulations on canonical and complex targets, as well as real-world vehicle measurements at 36 GHz, demonstrate that MVLA-GR can effectively recover target geometry, providing a low-complexity phase-free solution for ISAC.
Comments13 pages, 10 figures. Submitted to IEEE Transactions on Wireless Communications
