Title :

Time-domain LMMSE channel estimator based on sliding window for OFDM systems in high-mobility situations

Author(s) :

Kalakech, Ali [Auteur]
Laboratoire Électronique Ondes et Signaux pour les Transports [IFSTTAR/COSYS/LEOST]
Berbineau, Marion [Auteur]
Laboratoire Électronique Ondes et Signaux pour les Transports [IFSTTAR/COSYS/LEOST]
Dayoub, Iyad [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Simon, Eric [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]

Journal title :

IEEE Transactions on Vehicular Technology

Pages :

5728-5740

Publisher :

Institute of Electrical and Electronics Engineers

Publication date :

2015-12

ISSN :

0018-9545

English keyword(s) :

channel estimation
LMMSE filter
OFDM
timevarying channels

HAL domain(s) :

Sciences de l'ingénieur [physics]
Informatique [cs]

English abstract : [en]

Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler ...
Show more >Recently, wideband orthogonal frequency-division multiplexing (OFDM)-based systems such as Long-Term Evolution (LTE) have been proposed for future railway communication systems. In such high-speed situations, Doppler phenomena, related to the terminal's high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalization become a challenging problem, particularly when the number of pilot carriers is limited. This paper investigates the use of time-domain channel estimation for OFDM systems in high-speed scenarios and for a sparse pilot distribution. A time-domain linear minimum mean square error (TD-LMMSE) filter is designed for channel estimation. The TD-LMMSE emulates the effect of a sliding window and takes into consideration the interference caused by the data field. The expression of the MSE of linear estimators is also developed. Furthermore, a simple technique for the estimation of the second-order channel statistics is proposed. Simulation results, showing a significant gain in terms of MSE and bit error rate, compared with other state-of-the-art algorithms, are reported over a wide signal-to-noise ratio (SNR) range.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL