Blind Identification Of Full-Sized Volterra Sysytems In SOS Domain

TitleBlind Identification Of Full-Sized Volterra Sysytems In SOS Domain
Publication TypeConference Paper
Year of Publication2005
AuthorsTan, H. - Z., and T. Aboulnasr
Conference NameInstrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Pagination900 -903
Date Publishedmay.
Keywordsblind identification, higher order statistics, higher-order statistics domain, identification, second-order statistics domain, signal sampling, single-input multioutput Volterra system, single-input single-output Volterra system, Volterra series

For a single-input single-output (SISO) Volterra system with finite order and memory, excited by unobservable i.i.d. stationary random sequences, it is known that subclasses of sparse Volterra systems are identifiable blindly in the second-order statistics (SOS) or higher-order statistics (HOS) domain under some conditions. In this paper, we show that, given sufficient conditions, a full-sized single-input multi-output (SIMO) Volterra system, structured by temporally or spatially oversampling its SISO counterpart, can be fully blindly identified in the SOS domain. Numerical simulations demonstrate the validity and usefulness of the proposed method


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia