NDLI: MMSE Training Design for Filter Bank Multicarrier Systems with Per-Subcarrier Channel Estimation

Content Provider	IEEE Xplore Digital Library
Author	Newinger, M. Baltar, L.G. Nossek, J.A.
Copyright Year	2013
Description	Author affiliation: Inst. for Circuit Theor. & Signal Process., Tech. Univ. Munchen, Munich, Germany (Newinger, M.; Baltar, L.G.; Nossek, J.A.)
Abstract	Filter bank based multicarrier (FBMC) systems present an alternative solution to cyclic prefix based orthogonal frequency division multiplexing (CP-OFDM) in wireless environments with multipath propagation. In this contribution we propose a novel training sequences design method to be employed in a per-subcarrier maximum likelihood (ML) narrowband channel estimation scheme, recently developed by the authors. In the training design we take into account the knowledge of transmitter and receiver side prototype filters to calculate the pilot sequences. The method targets at the minimum mean squared error (MMSE) of the channel estimation and uses a gradient projection algorithm to find the optimum sequences. In the numerical results we show a gain of up to 4 dB for the same MMSE value in a low to medium $E_{b}/N_{0}$ regime.
Starting Page	1
Ending Page	5
File Size	164595
Page Count	5
File Format	PDF
ISBN	9781467361873
ISSN	10903038
DOI	10.1109/VTCFall.2013.6692287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Channel estimation Narrowband Multipath channels Vectors Prototypes Maximum likelihood estimation
Content Type	Text
Resource Type	Article

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