DocumentCode :
180570
Title :
Short preamble-based estimation of highly frequency selective channels in FBMC/OQAM
Author :
Kofidis, E.
Author_Institution :
Dept. of Stat. & Insurance Sci., Univ. of Piraeus, Piraeus, Greece
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
8058
Lastpage :
8062
Abstract :
Channel estimation in multicarrier systems employing filter banks with offset quadrature amplitude modulation (FBMC/OQAM) is known to face challenges related to the interference effect intrinsic to these systems. Most of the methods reported thus far rely on the assumption of (almost) flat subchannels - implying a low frequency selective channel - to more easily tackle this problem. Others, more recent ones, relax this assumption but they either depend on a model for the channel or they concentrate on per-subchannel estimation and often require long training sequences. This paper revisits this problem by proposing a method that makes no assumption on the channel frequency selectivity, while using a very short preamble for training. The latter is optimized with respect to the channel estimation mean squared error. The superiority of the proposed method over classical ones is demonstrated via simulation results for both mildly and highly frequency selective channels.
Keywords :
channel bank filters; channel estimation; mean square error methods; quadrature amplitude modulation; radiofrequency interference; FBMC-OQAM; channel estimation; channel frequency selectivity; filter bank-based multicarrier; flat subchannels; frequency selective channels; interference effect; long training sequences; mean squared error; offset quadrature amplitude modulation; short preamble-based estimation; Channel estimation; Estimation; Filter banks; Frequency estimation; OFDM; Signal to noise ratio; Training; Channel estimation; filter bank multicarrier; intrinsic interference; offset quadrature amplitude modulation; orthogonal frequency division multiplexing; preamble;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6855170
Filename :
6855170
Link To Document :
بازگشت