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Analysis of DFT-Based Channel Estimators for OFDM
Department of Applied Electronics, Lund University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8647-436X
Bell Labs, Lucent Technologies, Windmill Hill Business Park, Swindon.
Luleå tekniska universitet.
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2000 (English)In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 12, no 1, p. 55-70Article in journal (Refereed) Published
Abstract [en]

In this paper we analyze the performance of three low-complexity channel estimators, based on the discrete Fourier transform (DFT), for orthogonal frequency-division multiplexing (OFDM) systems. Estimators of this type have been analyzed for discrete-time channels, and we extend this analysis to continuous-time channels. We present analytical expressions for their mean-squared error (MSE) and evaluate their complexity vs. symbol-error rate (SER) for 16-QAM. The analysis shows that this type of estimators may experience an irreducible error floor at high SNRs. However, in one of the three estimators the error floor can be eliminated while the complexity stays low and the performance is maximized.

Place, publisher, year, edition, pages
2000. Vol. 12, no 1, p. 55-70
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-14273DOI: 10.1023/A:1008864109605ISI: 000087154600004Scopus ID: 2-s2.0-0033891986Local ID: da0b5210-fb51-11dc-a946-000ea68e967bOAI: oai:DiVA.org:ltu-14273DiVA, id: diva2:987227
Note
Validerad; 2000; 20080326 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Beek, Jaap van de

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