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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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://dx.doi.org/10.1155/2009/315765 |
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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 |
work_keys_str_mv |
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1725579481946521600 |