AI 中文总结
研究集成卫星-地面海事系统的联合通信与传感设计，基于差分进化方法提出传感算法，推导关键性能指标，通过联合波束成形优化最大化用户和速率，仿真结果显示所提算法在定位精度和传输速率上优于基线算法。
AI 中文摘要
联合通信与传感是6G的关键技术。通过将传感集成到海事通信中，船舶在与基站通信时可感知周围环境以确保安全航行。本文介绍了基于相同射频信号的联合通信与传感的集成卫星-地面海事系统（ISTMS）。地面基站（TBS）和低地球轨道（LEO）卫星分别为近岸用户（NSUs）和离岸用户（OSUs）提供通信服务并同时进行目标传感。基于差分进化方法（DE）提出一种传感算法，可提高定位精度并减少资源消耗。推导了通信和传感的关键性能指标。通过TBS和LEO卫星的联合波束成形优化，在满足目标定位精度要求和发射功率约束的同时最大化海事用户的和速率。最后，大量仿真结果表明所提算法在定位精度和传输速率方面比基线算法更有效。
英文摘要
Joint communication and sensing has been a key technology in 6G. By integrating sensing into maritime communications, ships can communicate with the base station while sensing the surrounding environment to ensure safe navigation. In this paper, we introduce an integrated satellite-terrestrial maritime system (ISTMS) with joint communication and sensing based on the same radio-frequency signals. Specifically, the terrestrial base station (TBS) and low Earth orbit (LEO) satellite provide communication services for near-shore users (NSUs) and off-shore users (OSUs), respectively, while simultaneously performing target sensing. Based on a differential evolution method (DE), we propose a sensing algorithm, which can enhance the location accuracy and reduce resource consumption. Furthermore, we derive the key performance metrics for both communication and sensing. Through joint beamforming optimization of the TBS and LEO satellite, we maximize the sum rate of maritime users while satisfying target localization accuracy requirements and transmit power constraints. Finally, extensive simulation results demonstrate the effectiveness of the proposed algorithms in terms of location accuracy and transmission rate compared with the baseline algorithms.
