{"title":"A Factor Graph Approach to Moving Target Localisation Using BR Measurements in Distributed TDM MIMO Radars","authors":"Zehua Yu, Ziyang Jin, Shuyu Zhou, Jinshan Ding","doi":"10.1049/ell2.70410","DOIUrl":null,"url":null,"abstract":"<p>In this letter, a novel factor graph approach for moving target localisation in distributed time division multiplexing (TDM) multiple-input multiple-output radar systems is proposed. The time-sequential nature of TDM transmission causes target positions to vary as the target reflects different signals, presenting significant challenges for localisation and making conventional methods inapplicable. To address this issue, we first formulate the nonconvex and highly nonlinear maximum likelihood estimation problem, then develop its factor graph representation. Through appropriate dynamic approximations, an efficient iterative message passing algorithm is developed to solve the problem, with the Cramer–Rao lower bound also derived as a performance benchmark. Numerical simulations demonstrate the effectiveness of the proposed method.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70410","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics Letters","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70410","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In this letter, a novel factor graph approach for moving target localisation in distributed time division multiplexing (TDM) multiple-input multiple-output radar systems is proposed. The time-sequential nature of TDM transmission causes target positions to vary as the target reflects different signals, presenting significant challenges for localisation and making conventional methods inapplicable. To address this issue, we first formulate the nonconvex and highly nonlinear maximum likelihood estimation problem, then develop its factor graph representation. Through appropriate dynamic approximations, an efficient iterative message passing algorithm is developed to solve the problem, with the Cramer–Rao lower bound also derived as a performance benchmark. Numerical simulations demonstrate the effectiveness of the proposed method.
期刊介绍:
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO