Virtual carrier based signal-to-noise ratio estimator for medium voltage powerline communication

Author

Dong, Liang ; BaoHui, Zhang ; DongWen, Niu

Author_Institution

State Key Lab. of Electr. Insulation & Power Equip., Xi´´an Jiao tong Univ., Xi´´an, China

fYear

2011

fDate

25-28 Sept. 2011

Firstpage

752

Lastpage

756

Abstract

Adaptive orthogonal frequency division multiplexing(AOFDM) offers reliable data transmission solution for medium voltage powerline communication with low SNR and frequency selective attenuation. Signal-to-noise ratio (SNR) estimator is a key decision parameter in adaptive transmission. In this paper, a virtual carrier based SNR estimation algorithm is proposed. Algorithm can be applied to two cases; one is for data-aided estimation and the other for blind estimation. SNR estimator use virtual carrier in synchronization train sequence or virtual carrier generated by oversampling. Second-moments of received signal is calculated to deduce the result. The performance is compared with other algorithms through Monte-Carlo simulation. The result shows that it is a feasible algorithm for MV powerline communications.

Keywords

Monte Carlo methods; OFDM modulation; carrier transmission on power lines; data communication; AOFDM; MV powerline communications; Monte-Carlo simulation; SNR; adaptive orthogonal frequency division multiplexing; adaptive transmission; blind estimation; data-aided estimation; frequency selective attenuation; medium voltage powerline communication; signal-to-noise ratio; signal-to-noise ratio estimator; virtual carrier; Channel estimation; Channel models; Estimation; OFDM; Signal to noise ratio; Training; MV powerline channel model; SNR estimation; adaptive OFDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2011 IEEE 13th International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-61284-306-3

Type

conf

DOI

10.1109/ICCT.2011.6157977

Filename

6157977