Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels

A cognitive radio system needs accurate knowledge of the radio spectrum it operates in. Blind modulation recognition techniques have been proposed to discriminate between single-carrier and multicarrier modulations and to estimate their parameters. Some powerful techniques use autocorrelation- and c...

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Main Authors: Vincent Le Nir, Toon van Waterschoot, Marc Moonen, Jonathan Duplicy
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://dx.doi.org/10.1155/2009/315765
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spelling doaj-061ae40b4782461d9b496644bc238e9a2020-11-24T23:18:54ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992009-01-01200910.1155/2009/315765Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective ChannelsVincent Le NirToon van WaterschootMarc MoonenJonathan DuplicyA cognitive radio system needs accurate knowledge of the radio spectrum it operates in. Blind modulation recognition techniques have been proposed to discriminate between single-carrier and multicarrier modulations and to estimate their parameters. Some powerful techniques use autocorrelation- and cyclic autocorrelation-based features of the transmitted signal applying to OFDM signals using a Cyclic Prefix time guard interval (CP-OFDM). In this paper, we propose a blind parameter estimation technique based on a power autocorrelation feature applying to OFDM signals using a Zero Padding time guard interval (ZP-OFDM) which in particular excludes the use of the autocorrelation- and cyclic autocorrelation-based techniques. The proposed technique leads to an efficient estimation of the symbol duration and zero padding duration in frequency selective channels, and is insensitive to receiver phase and frequency offsets. Simulation results are given for WiMAX and WiMedia signals using realistic Stanford University Interim (SUI) and Ultra-Wideband (UWB) IEEE 802.15.4a channel models, respectively. http://dx.doi.org/10.1155/2009/315765
collection DOAJ
language English
format Article
sources DOAJ
author Vincent Le Nir
Toon van Waterschoot
Marc Moonen
Jonathan Duplicy
spellingShingle Vincent Le Nir
Toon van Waterschoot
Marc Moonen
Jonathan Duplicy
Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels
EURASIP Journal on Wireless Communications and Networking
author_facet Vincent Le Nir
Toon van Waterschoot
Marc Moonen
Jonathan Duplicy
author_sort Vincent Le Nir
title Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels
title_short Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels
title_full Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels
title_fullStr Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels
title_full_unstemmed Blind CP-OFDM and ZP-OFDM Parameter Estimation in Frequency Selective Channels
title_sort blind cp-ofdm and zp-ofdm parameter estimation in frequency selective channels
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2009-01-01
description A cognitive radio system needs accurate knowledge of the radio spectrum it operates in. Blind modulation recognition techniques have been proposed to discriminate between single-carrier and multicarrier modulations and to estimate their parameters. Some powerful techniques use autocorrelation- and cyclic autocorrelation-based features of the transmitted signal applying to OFDM signals using a Cyclic Prefix time guard interval (CP-OFDM). In this paper, we propose a blind parameter estimation technique based on a power autocorrelation feature applying to OFDM signals using a Zero Padding time guard interval (ZP-OFDM) which in particular excludes the use of the autocorrelation- and cyclic autocorrelation-based techniques. The proposed technique leads to an efficient estimation of the symbol duration and zero padding duration in frequency selective channels, and is insensitive to receiver phase and frequency offsets. Simulation results are given for WiMAX and WiMedia signals using realistic Stanford University Interim (SUI) and Ultra-Wideband (UWB) IEEE 802.15.4a channel models, respectively.
url http://dx.doi.org/10.1155/2009/315765
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AT toonvanwaterschoot blindcpofdmandzpofdmparameterestimationinfrequencyselectivechannels
AT marcmoonen blindcpofdmandzpofdmparameterestimationinfrequencyselectivechannels
AT jonathanduplicy blindcpofdmandzpofdmparameterestimationinfrequencyselectivechannels
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