Optimal training designs for bayesian channel estimators with application in CDMA systems

Azadeh Vosoughi, Anna Scaglione

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

Abstract

In this paper, we address the problem of data transmission over a block fading frequency selective multi-input multi-output (MIMO) channel. The encoded data symbols are passed through an affine precoder and sent over multiple transmit antennas. Affine precoding is a unifying model of the existing training schemes, namely, preamble based training, pilot symbol assisted modulation (PSAM), and superimposed training. Within this general model, we show that the channel Cramer-Rao bound (CRB) is minimized if the precoded data and training symbols satisfy a special form of orthogonality. Under the power constraint on the training and the precoded symbols, we provide optimal and suboptimal training design guidelines.

Original languageEnglish (US)
Title of host publication2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts
PublisherIEEE Computer Society
Pages1348-1353
Number of pages6
ISBN (Print)0780394046, 9780780394049
DOIs
StatePublished - Jan 1 2005
Event2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux, France
Duration: Jul 17 2005Jul 20 2005

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2005

Other

Other2005 IEEE/SP 13th Workshop on Statistical Signal Processing
CountryFrance
CityBordeaux
Period7/17/057/20/05

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Vosoughi, A., & Scaglione, A. (2005). Optimal training designs for bayesian channel estimators with application in CDMA systems. In 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts (pp. 1348-1353). [1628805] (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2005). IEEE Computer Society. https://doi.org/10.1109/ssp.2005.1628805