Blind spatial signature estimation using time-varying user power loading and parallel factor analysis

Yue Rong, Sergiy A. Vorobyov, Alex B. Gershman, Nicholas D. Sidiropoulos

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

The problem of blind user spatial signature estimation using the parallel factor (PARAFAC) analysis model is addressed in the context of applications to wireless communications. A time-varying user power loading hi the uplink mode is proposed to enable identifiability and application of PARAFAC analysis. Identifiability issues are carefully studied and two blind spatial signature estimation algorithms are developed. The first technique is based on the PARAFAC fitting trilinear alternating least squares (TALS) regression procedure, while the second one makes use of the joint approximate diagonalization algorithm. These techniques do not require any knowledge of the propagation channel and/or sensor array manifold and are applicable to a more general class of scenarios than earlier blind approaches to spatial signature estimation.

Original languageEnglish (US)
Pages (from-to)79-83
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume58
Issue number1
StatePublished - Dec 1 2003
Event2003 IEEE 58th Vehicular Technology Conference, VTC2003-Fall - Orlando, FL, United States
Duration: Oct 6 2003Oct 9 2003

Fingerprint Dive into the research topics of 'Blind spatial signature estimation using time-varying user power loading and parallel factor analysis'. Together they form a unique fingerprint.

Cite this