Near-optimum iterative estimation of dispersive multipath channels

Carlos A. Montemayor, Paul G. Flikkema

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations


Correlation-based channel estimation techniques offer low complexity, but suffer a performance penalty relative to that achievable using the minimum-variance unbiased estimator. This paper describes two iterative estimation algorithms, called sequential and strength-ordered, respectively, that exploit the known properties of the channel sounding sequence to reduce the bias of an initial correlation-based estimate. Performance is compared with both the sliding correlator technique and the Cramer-Rao performance lower bound in the setting of discrete-time FIR channels. The sequential algorithm leads to a pipelined implementation that is amenable to on-line estimation, while the strength-ordered algorithm can be used for off-line improvement of initial estimates obtained using a correlator.

Original languageEnglish (US)
Pages (from-to)2246-2250
Number of pages5
JournalIEEE Vehicular Technology Conference
StatePublished - 1998
EventProceedings of the 1998 48th IEEE Vehicular Technology Conference, VTC'98. Part 3 (of 3) - Ottawa, Can
Duration: May 18 1998May 21 1998

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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