Paper Info
Title
A modified maximum likelihood method for SNR estimation in OFDM based systems
Abstract
In this paper, a modified Maximum Likelihood (ML) method is proposed to estimate the noise variance as well as the corresponding signal to noise ratio (SNR) in Orthogonal Frequency Division Multiplexing (OFDM) based receivers under Additive White Gaussian Noise (AWGN) as well as multipath fading channels without using any pilot symbols. The presented algorithm works directly in the time domain (pre-FFT method) by using the redundant information of the cyclic prefix and can be applied to any unitary or non-unitary constellation. Furthermore, all extracted parameters can be used to evaluate the signal quality within the receiver and build up applications such as Minimum Mean Square Error (MMSE) channel estimation or adaptive synchronization algorithm design, especially for Software Defined Radio (SDR) applications. All simulations are applied to the Digital Audio Broadcasting (DAB/DAB+) system and show better performance compared to the state of the art SNR estimation procedures.
Year
DOI
Venue
2014
10.1109/ICCE.2014.6775951
ICCE
Keywords
Field
DocType
awgn channels,ofdm modulation,digital audio broadcasting,fading channels,maximum likelihood estimation,multipath channels,radio receivers,software radio,time-domain analysis,awgn,dab/dab+ system,ofdm based receiver,sdr,snr estimation,additive white gaussian noise,cyclic prefix,maximum likelihood method,multipath fading channels,noise variance estimation,nonunitary constellation,orthogonal frequency division multiplexing,parameter extraction,redundant information,signal quality evaluation,signal to noise ratio,software defined radio,time domain analysis,dab/dab+,maximum likelihood,ofdm,software defined radio (sdr)
Time domain,Multipath propagation,Cyclic prefix,Computer science,Signal-to-noise ratio,Minimum mean square error,Electronic engineering,Digital audio broadcasting,Additive white Gaussian noise,Orthogonal frequency-division multiplexing
Conference
ISSN
Citations 
PageRank 
2158-3994
2
0.43
References 
Authors
4
3
Name
Order
Citations
PageRank
Sebastian Baumgärtner1213.31
Gangolf Hirtz22211.40
Baumgartner, A.320.43