Paper Info
Title
A blind ML-SNR estimation method for OFDM systems in dispersive fading channels
Abstract
Orthogonal Frequency Division Multiplexing (OFDM) is a common used technology for communication systems nowadays. Besides the synchronization of OFDM based receivers, the estimation of the noise variance as well as the corresponding signal-to-noise ratio (SNR) is a challenging issue, especially under dispersive fading channel conditions. In this paper the principle of blind OFDM synchronization via Maximum Likelihood functions is picked up and extended in such a way, that the signal-to-noise ratio can be determined under realistic multipath fading channels. Furthermore the symbol timing offset and the channel length are estimated in advance, to overcome the problem of previous proposed SNR estimation techniques. Besides all existing blind SNR estimation procedures, no computationally inefficient sub procedures are required to find the Inter-Symbol-Interference (ISI) free region to determine the correct SNR value. All extracted parameters can be used to evaluate the signal quality within the receiver and to build up applications such as minimum mean-square error (MMSE) channel estimation. The algorithm is applied to the OFDM based Digital Audio Broadcasting (DAB/DAB+) system and shows excellent performance with less computational effort.
Year
DOI
Venue
2014
10.1109/ICCE-Berlin.2014.7034275
ICCE-Berlin
Keywords
Field
DocType
ofdm modulation,digital audio broadcasting,dispersive channels,fading channels,intersymbol interference,maximum likelihood estimation,multipath channels,radio receivers,synchronisation,dab-dab+ system,isi free region,mmse channel estimation,blind ml-snr estimation method,blind ofdm based receiver synchronization,channel length,communication systems,computationally inefficient subprocedures,digital audio broadcasting system,dispersive multipath fading channel condition,intersymbol interference free region,maximum likelihood functions,minimum mean-square error channel estimation,noise variance estimation,orthogonal frequency division multiplexing,signal quality evaluation,signal-to-noise ratio,symbol timing offset,dab/dab+,maximum likelihood (ml) method,ofdm,snr estimation,software defined radio (sdr),baseband,correlation,signal to noise ratio
Multipath propagation,Synchronization,Baseband,Fading,Computer science,Signal-to-noise ratio,Algorithm,Communication channel,Speech recognition,Digital audio broadcasting,Orthogonal frequency-division multiplexing
Conference
ISSN
Citations 
PageRank 
2166-6814
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Sebastian Baumgärtner1213.31
Gangolf Hirtz22211.40