发表机构
Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences; State Key Laboratory of Heterogeneous Integrated Microsystem（中国科学院上海微系统与信息技术研究所; 异构集成微系统国家重点实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文针对LEO-ISAC双基地远距离感知中OFDM因传播延迟失效的问题，提出窗口网格处理框架，利用目标几何作为纯接收端处理，实现3GPP兼容信号下超640公里距离的米级测距精度。
AI 中文摘要
本文解决了双基地低地球轨道集成感知与通信（LEO-ISAC）系统中的远距离感知问题。传统的基于OFDM的感知方案因过大的传播延迟而在LEO-ISAC中失效，这导致跨符号错位和信号持续时间不等。我们提出了一种窗口网格处理框架，利用确定性的目标几何结构，作为纯接收端处理来解决这两个挑战：所传输的感知信号是3GPP兼容的。仿真结果表明，在超过640公里的双基地距离上，使用100.8 MHz带宽，对两个目标的测距精度达到米级。
英文摘要
This paper addresses the long-range sensing problem in bistatic low-Earth-orbit integrated sensing and communication (LEO-ISAC) systems. Conventional OFDM-based sensing schemes fail in LEO-ISAC due to excessive propagation delays, which cause cross-symbol misalignment and unequal signal durations. We propose a window-grid processing framework that leverages the deterministic target geometry to resolve both challenges as a pure receiver-side processing: the transmitted sensing signal is 3GPP-compatible. Simulations demonstrate meter-level ranging accuracy for two targets at bistatic ranges beyond 640 km with 100.8 MHz bandwidth.
CommentsSubmitted for publication
