Paper Info
Title
Iterative frequency offset estimation based on singular value decomposition
Abstract
This paper proposes an iterative frequency offset estimation based on singular value decomposition (SVD). The proposed technique achieves high resolution estimation of frequency offset even in the presence of strong co-channel and inter-symbol interference. Moreover, the proposed technique can estimate large frequency offset, e.g., ΔfT = 12.8 with high precision. The proposed technique comprises two new ideas. One is frequency offset estimation by using SVD and an adaptive filter. The other is iteration of the above frequency offset estimation followed by a frequency offset reduction. The iteration of the frequency offset estimation improves the estimation performance. In fact, it is evaluated by computer simulation that estimate the frequency offset normalized by a symbol duration, ΔfT = 12.8, in wireless sensor networks with direct sequence spread spectrum (DS-SS).
Year
DOI
Venue
2013
10.1109/ISPACS.2013.6704533
Intelligent Signal Processing and Communications Systems
Keywords
Field
DocType
adaptive filters,cochannel interference,frequency estimation,intersymbol interference,iterative methods,singular value decomposition,spread spectrum communication,wireless sensor networks,DS-SS,SVD,adaptive filter,cochannel interference,direct sequence spread spectrum,frequency offset reduction,intersymbol interference,iterative frequency offset estimation,singular value decomposition,wireless sensor networks,co-channel interference,frequency offset,sensor network,singular value decomposition
Singular value decomposition,Intersymbol interference,Control theory,Computer science,Iterative method,Frequency offset,Co-channel interference,Adaptive filter,Direct-sequence spread spectrum,Spread spectrum
Conference
ISBN
Citations 
PageRank 
978-1-4673-6360-0
1
0.38
References 
Authors
2
4
Name
Order
Citations
PageRank
Masataka Hasebe110.38
Satoshi Denno27625.60
Shigeru Tomisato3125.42
Masaharu Hata4114.41