通感一体中的参数估计:方法、应用与挑战OA

Integrated Sensing and Communication(ISAC)realizes the integration of communication and sensing functions by sharing spectrum,software and hardware resources,and brings new technical means for the integrated application of target positioning and environmental sensing.This paper focuses on the research progress of parameter estimation theory in ISAC.Firstly,the related concepts of ISAC parameter estimation are introduced.The parameter types are divided into communication channel parameters and perceptual target parameters,and the specific performance evaluation indexes are given.Then,the parameter estimation methods are summarized from two aspects of model-driven and data-driven,and the new hybrid driven paradigm of model-driven and data-driven integration is discussed.The applications of parameter estimation in ISAC are analyzed from three aspects:sensing-assisted communication,communication-assisted sensing,and joint optimization of communication and sensing,and the fusion strategies are compared.Finally,the paper conducts an in-depth analysis of the key challenges faced by ISAC parameter estimation techniques in practical applications,highlighting prospects for typical sensing scenarios such as target localization and environmental sensing.By thoroughly examining research findings in ISAC parameter estimation theory,this study provides valuable insights for advancing the practical implementation of ISAC technology.