DocumentCode :
1622421
Title :
The performance of ML estimation of OFDM symbol time with and without correlation coefficient
Author :
Lee, Jae-Ho ; Choi, Dong-Joon ; Hur, Nam-Ho ; Kim, Whan-Woo
Author_Institution :
Digital Broadcasting Res. Div., ETRI, Daejeon, South Korea
fYear :
2012
Firstpage :
449
Lastpage :
453
Abstract :
In this paper, we show the results of the maximum likelihood (ML) estimation of orthogonal frequency-division multiplexing (OFDM) symbol time as to whether there is a correlation coefficient (CC) or not. The CC is related to signal to noise ratio (SNR), and SNR/(SNR+1), and approximately 1 at high SNR. However, because it is difficult to calculate a SNR in a receiver it is desirable to delete the CC. Thus, we investigate the performance of ML estimation with and without a CC at low SNR under various channel conditions such as additive white Gaussian noise (AWGN), frequency offset and multipath delays. In addition, we simulate the frame error rate (FER) with the same conditions. The results of simulation show that ML estimation with CC is superior to that without it with respect to mean square error (MSE) of OFDM symbol time and FER under all channel environments. However, the former is inferior to the latter in terms of the complexity of an OFDM receiver. Thus, there is trade-off between the performance and simplicity of it.
Keywords :
AWGN channels; OFDM modulation; communication complexity; correlation methods; error statistics; maximum likelihood estimation; mean square error methods; radio receivers; AWGN channel; FER; ML estimation; MSE; OFDM receiver; OFDM symbol time; SNR; additive white Gaussian noise; channel condition; channel environment; complexity; correlation coefficient; frame error rate; frequency offset; maximum likelihood estimation; mean square error; multipath delay; orthogonal frequency-division multiplexing symbol time; signal to noise ratio; AWGN; Channel estimation; Digital video broadcasting; Maximum likelihood estimation; OFDM; Signal to noise ratio; FER; ML estimation; correlation coefficient; mean square error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2012 14th International Conference on
Conference_Location :
PyeongChang
ISSN :
1738-9445
Print_ISBN :
978-1-4673-0150-3
Type :
conf
Filename :
6174648
Link To Document :
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