A black-box identification framework for wireless terahertz networks

Sillas Hadjiloucas, Roberto K. H. Galvão, Abdurrahman Izhac, Victor M. Becerra, John W. Bowen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper discusses the feasibility of wireless Terahertz communications links deployed in a metropolitan area and lays down a black-box system identification framework to model the large scale fading of such channels. The movement of the receiver is modeled in state space by an autonomous dynamic linear system whereas the geometric relations involved in the attenuation and multi-path propagation of the electric field are described by a static nonlinear mapping. A subspace algorithm in conjunction with polynomial regression is used to identify a Wiener model from time-domain measurements of the field intensity. The identification procedure is validated by using the model to perform predictions in a simulation involving direct line-of-sight propagation, ground and wall reflection as well as diffraction around a corner. The proposed algorithm is of interest to developers providing U.S. E-911 compliant solutions as well as Location-Based Services (LBS), such as turn-by-turn navigation, mobile resource and logistics management.
    Original languageEnglish
    Title of host publicationInformation control problems in manufacturing 2004 (INCOM 2004)
    Subtitle of host publicationa proceedings volume from the 11th IFAC Symposium, Salvador, Brazil, 5-7 April 2004
    EditorsPeter Kopacek, C. E. Pereira, G. Morel
    Place of PublicationAmsterdam
    PublisherElsevier
    ISBN (Print)9780080442495
    Publication statusPublished - 2004

    Fingerprint

    Dive into the research topics of 'A black-box identification framework for wireless terahertz networks'. Together they form a unique fingerprint.

    Cite this