Channel estimation versus equalization in an OFDM WLAN system

Sandrine Boumard; Aarne Mämmelä

doi:10.1109/VETECS.2001.944924

Channel estimation versus equalization in an OFDM WLAN system

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

17 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 language	English
Title of host publication	IEEE VTS 53rd Vehicular Technology Conference, Spring 2001
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	653-657
ISBN (Print)	978-0-7803-6728-9
DOIs	https://doi.org/10.1109/VETECS.2001.944924
Publication status	Published - 2001
MoE publication type	A4 Article in a conference publication
Event	53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring: Connecting the mobile world - Rhodes, Greece Duration: 6 May 2001 → 9 May 2001 Conference number: 53

Publication series

Series	IEEE Vehicular Technology Conference Proceedings
Volume	53
ISSN	1550-2252

Conference

Conference	53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring
Country/Territory	Greece
City	Rhodes
Period	6/05/01 → 9/05/01

Keywords

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

Access to Document

10.1109/VETECS.2001.944924

Cite this

@inproceedings{281c515eecb945bb886c250f194c04de,

title = "Channel estimation versus equalization in an OFDM WLAN system",

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.",

keywords = "channel estimation, wireless LAN, modulation coding, OFDM modulation, analytical models, IEEE 802.11a standard, WLAN system, fading",

author = "Sandrine Boumard and Aarne M{\"a}mmel{\"a}",

year = "2001",

doi = "10.1109/VETECS.2001.944924",

language = "English",

isbn = "978-0-7803-6728-9",

series = "IEEE Vehicular Technology Conference Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

pages = "653--657",

booktitle = "IEEE VTS 53rd Vehicular Technology Conference, Spring 2001",

address = "United States",

note = "53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring : Connecting the mobile world ; Conference date: 06-05-2001 Through 09-05-2001",

}

Boumard, S & Mämmelä, A 2001, Channel estimation versus equalization in an OFDM WLAN system. in IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. IEEE Institute of Electrical and Electronic Engineers, IEEE Vehicular Technology Conference Proceedings, vol. 53, 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. IEEE Institute of Electrical and Electronic Engineers, 2001. p. 653-657 (IEEE Vehicular Technology Conference Proceedings, Vol. 53).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Channel estimation versus equalization in an OFDM WLAN system

AU - Boumard, Sandrine

AU - Mämmelä, Aarne

N1 - Conference code: 53

PY - 2001

Y1 - 2001

N2 - 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.

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.

KW - channel estimation

KW - wireless LAN

KW - modulation coding

KW - OFDM modulation

KW - analytical models

KW - IEEE 802.11a standard

KW - WLAN system

KW - fading

U2 - 10.1109/VETECS.2001.944924

DO - 10.1109/VETECS.2001.944924

M3 - Conference article in proceedings

SN - 978-0-7803-6728-9

T3 - IEEE Vehicular Technology Conference Proceedings

SP - 653

EP - 657

BT - IEEE VTS 53rd Vehicular Technology Conference, Spring 2001

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 53rd Vehicular Technology Conference, Spring 2001, VTC 2001 Spring

Y2 - 6 May 2001 through 9 May 2001

ER -

Channel estimation versus equalization in an OFDM WLAN system

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this