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Lopes, B., Catarino, S., Souto, N., Dinis, R. & Cercas, F. (2018). Robust joint synchronization and channel estimation approach for frequency-selective environments. IEEE Access. 6, 53180-53190

A. A. Lopes et al.,  "Robust joint synchronization and channel estimation approach for frequency-selective environments", in IEEE Access, vol. 6, pp. 53180-53190, 2018

@article{lopes2018_1734632327214,
	author = "Lopes, B. and Catarino, S. and Souto, N. and Dinis, R. and Cercas, F.",
	title = "Robust joint synchronization and channel estimation approach for frequency-selective environments",
	journal = "IEEE Access",
	year = "2018",
	volume = "6",
	number = "",
	doi = "10.1109/ACCESS.2018.2871060",
	pages = "53180-53190",
	url = "https://ieeexplore.ieee.org/document/8468983"
}

TY  - JOUR
TI  - Robust joint synchronization and channel estimation approach for frequency-selective environments
T2  - IEEE Access
VL  - 6
AU  - Lopes, B.
AU  - Catarino, S.
AU  - Souto, N.
AU  - Dinis, R.
AU  - Cercas, F.
PY  - 2018
SP  - 53180-53190
SN  - 2169-3536
DO  - 10.1109/ACCESS.2018.2871060
UR  - https://ieeexplore.ieee.org/document/8468983
AB  - Supporting spontaneous low-latency machine type communications requires fast synchronization and channel estimation at the receiver. The problems of synchronizing the received frame and estimating the channel coefficients are often addressed separately with the later one relying on accurate timing acquisition. While these conventional approaches can be adequate in flat fading environments, time dispersive channels can have a negative impact on both tasks and severely degrade the performance of the receiver. To circumvent this large degradation, in this paper we consider the use of a sparse based reconstruction approach for joint timing synchronization and channel estimation by formulating the problem in a form that is closely related to Compressive Sensing(CS) framework. Using modified versions of well-known sparse reconstruction techniques, which can take into account the additional signal structure in addition to sparsity, it is shown through numerical simulations that, even with short training sequences, excellent timing synchronization and channel estimation performance can be achieved, both in single user and multiuser scenarios.
ER  -