A data-aided OFDM/OQAM synchronization algorithm using maximum posterior probability criterion

The OFDM/offset QAM (OFDM/OQAM) systems are sensitive to synchronization errors. To overcome this shortage of OFDM/OQAM systems, in this paper, a data-aided joint symbol timing and carrier frequency offsets (CFO) estimation algorithm based on maximum posterior probability criterion is proposed. Comp...

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Vydáno v:ICCTA 2011 : IET International Conference on Communication Technology and Application : 14-16 October 2011 s. 107 - 111
Hlavní autoři: Chen, Hao, Hu, Su, Wu, Gang, Li, Shaoqian
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Stevenage IET 2011
The Institution of Engineering & Technology
Témata:
Interpolation and function approximation (numerical analysis)
Modulation and coding methods
Other topics in statistics
Radio links and equipment
OFDM-offset QAM systems
root mean square error
maximum posterior probability criterion
multipath channels
quadrature amplitude modulation
RMSE
bit error rate
maximum likelihood estimation
data-aided OFDM-OQAM synchronization algorithm
BER
frequency estimation
synchronisation
fading channels
synchronization errors
data-aided joint symbol timing-carrier frequency offset estimation
SNR
multipath fading channels
OFDM modulation
CFO estimation
mean square error methods
signal-to-noise power ratio
error statistics
ISBN:9781849194709, 184919470X
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Popis
Shrnutí:The OFDM/offset QAM (OFDM/OQAM) systems are sensitive to synchronization errors. To overcome this shortage of OFDM/OQAM systems, in this paper, a data-aided joint symbol timing and carrier frequency offsets (CFO) estimation algorithm based on maximum posterior probability criterion is proposed. Compared to traditional data aided algorithms, the derived algorithm achieves better performance in multipath fading channels in terms of capture probability of symbol timing offsets, root mean square error (RMSE) of CFO estimation and bit error rate (BER) versus signal-to noise power ratio (SNR).
Bibliografie:ObjectType-Article-1
ObjectType-Feature-2
SourceType-Conference Papers & Proceedings-1
content type line 22
ISBN:9781849194709
184919470X
DOI:10.1049/cp.2011.0640