Channel estimation versus equalization in an OFDM WLAN system

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

16 Citations (Scopus)

Abstract

We study an OFDM system, following the IEEE 802.11a standard, with QPSK modulation, allowing a 10 Mbps data rate when using convolutional coding. We compare one-tap equalization and channel estimation structures in the frequency domain by theoretical analysis and floating point simulations. We use the minimum mean square error (MMSE) and the zero-forcing (ZF) criteria. In the adaptive case, we use the RLS algorithm. We compare data aided (using pilot tones), and decision directed modes. The analysis is made for AWGN, one path Rayleigh fading, one path Ricean fading and multipath Ricean fading channels. The ZF criterion performs better than the MMSE criterion. The channel estimator is simpler and performs better than the equalizer in Ricean fading channels. This paper proposes new insights on the ZF and MMSE criteria, equalization and channel estimation.
Original languageEnglish
Title of host publicationIEEE VTS 53rd Vehicular Technology Conference, Spring 2001
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages653-657
ISBN (Print)0-7803-6728-6
DOIs
Publication statusPublished - 2001
MoE publication typeA4 Article in a conference publication
Event53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring: Connecting the mobile world - Rhodes, Greece
Duration: 6 May 20019 May 2001
Conference number: 53

Publication series

Name
ISSN (Print)1090-3038

Conference

Conference53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring
CountryGreece
CityRhodes
Period6/05/019/05/01

Fingerprint

Channel estimation
Wireless local area networks (WLAN)
Mean square error
Orthogonal frequency division multiplexing
Fading channels
Fading (radio)
Multipath fading
Quadrature phase shift keying
Equalizers
Rayleigh fading
Modulation

Keywords

  • channel estimation
  • wireless LAN
  • modulation coding
  • OFDM modulation
  • analytical models
  • IEEE 802.11a standard
  • WLAN system
  • fading

Cite this

Boumard, S., & Mämmelä, A. (2001). Channel estimation versus equalization in an OFDM WLAN system. In IEEE VTS 53rd Vehicular Technology Conference, Spring 2001 (pp. 653-657). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/VETECS.2001.944924
Boumard, Sandrine ; Mämmelä, Aarne. / Channel estimation versus equalization in an OFDM WLAN system. IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Institute of Electrical and Electronic Engineers IEEE, 2001. pp. 653-657
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Boumard, S & Mämmelä, A 2001, Channel estimation versus equalization in an OFDM WLAN system. in IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Institute of Electrical and Electronic Engineers IEEE, pp. 653-657, 53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring, Rhodes, Greece, 6/05/01. https://doi.org/10.1109/VETECS.2001.944924

Channel estimation versus equalization in an OFDM WLAN system. / Boumard, Sandrine; Mämmelä, Aarne.

IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Institute of Electrical and Electronic Engineers IEEE, 2001. p. 653-657.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - We study an OFDM system, following the IEEE 802.11a standard, with QPSK modulation, allowing a 10 Mbps data rate when using convolutional coding. We compare one-tap equalization and channel estimation structures in the frequency domain by theoretical analysis and floating point simulations. We use the minimum mean square error (MMSE) and the zero-forcing (ZF) criteria. In the adaptive case, we use the RLS algorithm. We compare data aided (using pilot tones), and decision directed modes. The analysis is made for AWGN, one path Rayleigh fading, one path Ricean fading and multipath Ricean fading channels. The ZF criterion performs better than the MMSE criterion. The channel estimator is simpler and performs better than the equalizer in Ricean fading channels. This paper proposes new insights on the ZF and MMSE criteria, equalization and channel estimation.

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Boumard S, Mämmelä A. Channel estimation versus equalization in an OFDM WLAN system. In IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Institute of Electrical and Electronic Engineers IEEE. 2001. p. 653-657 https://doi.org/10.1109/VETECS.2001.944924