Blind joint channel and data estimation for OFDM signals in Rayleigh fading

M. X. Chang*, Yu-Ted Su

*Corresponding author for this work

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

In this paper, we present several blind model-based joint channel and data estimation methods for Orthogonal Frequency Division Multiplexing (OFDM) signals. We model the time-varying channel response as a polynomial in time. Joint channel estimation and data detection are accomplished by finding the data sequence and regression coefficients that results in the minimum metric between the data-dependent polynomial and the received samples. Our method does not require the information of the channel statistics like signal-to-noise ratio (SNR) or correlation function. Performing exhaustive search among candidate sequences, though optimal, is impractical for long sequences. We develop some suboptimal methods and discuss their pro and con. A two-stage hybrid detection algorithm is proposed and used for detecting differential phase shift keying (DPSK) signals in Rayleigh fading.

Original languageEnglish
Pages (from-to)791-795
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume2
Issue number53ND
DOIs
StatePublished - 1 Jan 2001
EventIEEE VTS 53rd Vehicular Technology Conference (VTS SPRING 2001) - Rhodes, Greece
Duration: 6 May 20019 May 2001

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