Training based channel estimation algorithms for dual hop MIMO OFDM relay systems
Millar, Andrew P. and Weiss, Stephan and Stewart, Robert W. (2015) Training based channel estimation algorithms for dual hop MIMO OFDM relay systems. IEEE Transactions on Communications, 63 (12). pp. 4711-4726. ISSN 0090-6778 (https://doi.org/10.1109/TCOMM.2015.2481897)
Preview |
Text.
Filename: Millar_etal_TC2015_training_based_channel_estimation_algorithms.pdf
Final Published Version License: Download (845kB)| Preview |
Abstract
In this paper we consider minimum mean square error (MMSE) training based channel estimation for two-hop multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) relaying systems. The channel estimation process is divided into two main phases. The relay-destination channel is estimated in the first phase and can be obtained using well known point-to-point MIMO OFDM estimation methods. In the second phase, the source-relay channel is estimated at the destination with the use of a known training sequence that is transmitted from the source and forwarded to the destination by a non-regenerative relay. To obtain an estimate of the source-relay channel, the source training sequence, relay precoder, and destination processor, require to be optimised. To solve this problem we derive an iterative algorithm that involves sequentially solving a number of convex optimisation problems to update the source, relay, and destination design variables. Since the iterative algorithm may be too computationally expensive for practical implementation we then derive simplified solutions that have reduced computational complexity. Simulation results demonstrate the effectiveness of the proposed algorithms.
ORCID iDs
Millar, Andrew P., Weiss, Stephan ORCID: https://orcid.org/0000-0002-3486-7206 and Stewart, Robert W. ORCID: https://orcid.org/0000-0002-7779-8597;-
-
Item type: Article ID code: 54337 Dates: DateEvent17 December 2015Published25 September 2015Published Online14 September 2015AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 22 Sep 2015 07:38 Last modified: 12 Dec 2024 03:33 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/54337