Asymptotic Performance Limits of Vehicular Location and Velocity Detection Towards 6G mmWave Integrated Communication and Sensing  

作　　者：Shanshan Ma Bingpeng Zhou 

机构地区：[1]The School of Electronics and Communication Engineering,Sun Yat-sen University,Shenzhen 518107,China

出　　处：《China Communications》2023年第9期1-19,共19页中国通信（英文版）

基　　金：supported by the National Natural Science Foundation of China under 62001526;by Natural Science Foundation of Guangdong Province under 2021A1515012021;by National Key R&D Plan of China under Grant 2021YFB2900200;partly by Major Talent Program of Guangdong Province under Grant 2021QN02X074;by Fundamental Research Funds for the Central Universities, Sun Yat-sen University, under Grant 23QNPY22

摘　　要：In this paper,joint location and velocity estimation(JLVE)of vehicular terminals for 6G integrated communication and sensing(ICAS)is studied.We aim to provide a unified performance analysis framework for ICAS-based JLVE,which is challenging due to random fading,multipath interference,and complexly coupled system models,and thus the impact of channel fading and multipath interference on JLVE performance is not fully understood.To address this challenge,we exploit structured information models of the JLVE problem to render tractable performance quantification.Firstly,an individual closedform Cramer-Rao lower bound for vehicular localization,velocity detection and channel estimation,respectively,is established for gaining insights into performance limits of ICAS-based JLVE.Secondly,the impact of system resource factors and fading environments,e.g.,system bandwidth,the number of subcarriers,carrier frequency,antenna array size,transmission distance,spatial channel correlation,channel covariance,the number of interference paths and noise power,on the JLVE performance is theoretically analyzed.The associated closed-form JLVE performance analysis can not only provide theoretical foundations for ICAS receiver design but also provide a perfor mance benchmark for various JLVE methods。

关 键 词：integrated sensing and communication vehicular state sensing Cramer-Rao lower bound 

分 类 号：U463.6[机械工程—车辆工程] TN929.5[交通运输工程—载运工具运用工程]