Adaptive low-complexity MMSE channel estimation for OFDM

Darryn Lowe; Xiaojing Huang

doi:10.1109/ISCIT.2006.339825

Adaptive low-complexity MMSE channel estimation for OFDM

Darryn Lowe^*, Xiaojing Huang

^*Corresponding author for this work

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

5 Citations (Scopus)

Abstract

In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) filters that approximate minimum mean square error (MMSE) channel estimation in orthogonal frequency-division multiplexing (OFDM) systems. We show how the packet error rate (PER) can be significantly improved over conventional zero-forcing (ZF) estimation without incurring a significant increase in computational complexity. All quantitative results are provided in the context of multi-band OFDM (MB-OFDM) ultra-wideband (UWB) with standard IEEE channel models.

Original language	English
Title of host publication	2006 International Symposium on Communications and Information Technologies, ISCIT
Pages	638-643
Number of pages	6
DOIs	https://doi.org/10.1109/ISCIT.2006.339825
Publication status	Published - 2006
Event	2006 International Symposium on Communications and Information Technologies, ISCIT - Bangkok, Thailand Duration: 18 Oct 2006 → 20 Oct 2006

Other

Other	2006 International Symposium on Communications and Information Technologies, ISCIT
Country/Territory	Thailand
City	Bangkok
Period	18/10/06 → 20/10/06

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10.1109/ISCIT.2006.339825

Cite this

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title = "Adaptive low-complexity MMSE channel estimation for OFDM",

abstract = "In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) filters that approximate minimum mean square error (MMSE) channel estimation in orthogonal frequency-division multiplexing (OFDM) systems. We show how the packet error rate (PER) can be significantly improved over conventional zero-forcing (ZF) estimation without incurring a significant increase in computational complexity. All quantitative results are provided in the context of multi-band OFDM (MB-OFDM) ultra-wideband (UWB) with standard IEEE channel models.",

author = "Darryn Lowe and Xiaojing Huang",

year = "2006",

doi = "10.1109/ISCIT.2006.339825",

language = "English",

pages = "638--643",

booktitle = "2006 International Symposium on Communications and Information Technologies, ISCIT",

note = "2006 International Symposium on Communications and Information Technologies, ISCIT ; Conference date: 18-10-2006 Through 20-10-2006",

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AU - Lowe, Darryn

AU - Huang, Xiaojing

PY - 2006

Y1 - 2006

N2 - In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) filters that approximate minimum mean square error (MMSE) channel estimation in orthogonal frequency-division multiplexing (OFDM) systems. We show how the packet error rate (PER) can be significantly improved over conventional zero-forcing (ZF) estimation without incurring a significant increase in computational complexity. All quantitative results are provided in the context of multi-band OFDM (MB-OFDM) ultra-wideband (UWB) with standard IEEE channel models.

AB - In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) filters that approximate minimum mean square error (MMSE) channel estimation in orthogonal frequency-division multiplexing (OFDM) systems. We show how the packet error rate (PER) can be significantly improved over conventional zero-forcing (ZF) estimation without incurring a significant increase in computational complexity. All quantitative results are provided in the context of multi-band OFDM (MB-OFDM) ultra-wideband (UWB) with standard IEEE channel models.

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U2 - 10.1109/ISCIT.2006.339825

DO - 10.1109/ISCIT.2006.339825

M3 - Conference proceeding contribution

AN - SCOPUS:50949087225

SP - 638

EP - 643

BT - 2006 International Symposium on Communications and Information Technologies, ISCIT

T2 - 2006 International Symposium on Communications and Information Technologies, ISCIT

Y2 - 18 October 2006 through 20 October 2006

ER -

Adaptive low-complexity MMSE channel estimation for OFDM

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