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Low complexity joint estimation of synchronization impairments in sparse channel for MIMO-OFDM system

Jose, Renu and Ambat, Sooraj K and Hari, KVS (2014) Low complexity joint estimation of synchronization impairments in sparse channel for MIMO-OFDM system. In: AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 68 (2). pp. 151-157.

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Official URL: http://dx.doi.org/10.1016/j.aeue.2013.07.012


Low complexity joint estimation of synchronization impairments and channel in a single-user MIMO-OFDM system is presented in this paper. Based on a system model that takes into account the effects of synchronization impairments such as carrier frequency offset, sampling frequency offset, and symbol timing error, and channel, a Maximum Likelihood (ML) algorithm for the joint estimation is proposed. To reduce the complexity of ML grid search, the number of received signal samples used for estimation need to be reduced. The conventional channel estimation techniques using Least-Squares (LS) or Maximum a posteriori (MAP) methods fail for the reduced sample under-determined system, which results in poor performance of the joint estimator. The proposed ML algorithm uses Compressed Sensing (CS) based channel estimation method in a sparse fading scenario, where the received samples used for estimation are less than that required for an LS or MAP based estimation. The performance of the estimation method is studied through numerical simulations, and it is observed that CS based joint estimator performs better than LS and MAP based joint estimator. (C) 2013 Elsevier GmbH. All rights reserved.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to the ELSEVIER GMBH, GERMANY
Keywords: MIMO; OFDM; Synchronization; Sparsechannel; Compressed sensing
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 06 Mar 2014 07:01
Last Modified: 06 Mar 2014 07:01
URI: http://eprints.iisc.ac.in/id/eprint/48501

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