Minimum-Error-Probability CFO Estimation for Multiuser MIMO-OFDM Systems
2015 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 64, no 7, 2804-2818 p.Article in journal (Refereed) Published
We consider carrier frequency offset (CFO) estimation in the context of multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems over noisy frequency-selective wireless channels with both single- and multiuser scenarios. We conceived a new approach for parameter estimation by discretizing the continuous-valued CFO parameter into a discrete set of bins and then invoked detection theory, analogous to the minimum-bit-error-ratio optimization framework for detecting the finite-alphabet received signal. Using this radical approach, we propose a novel CFO estimation method and study its performance using both analytical results and Monte Carlo simulations. We obtain expressions for the variance of the CFO estimation error and the resultant BER degradation with the single- user scenario. Our simulations demonstrate that the overall BER performance of a MIMO-OFDM system using the proposed method is substantially improved for all the modulation schemes considered, albeit this is achieved at increased complexity.
Place, publisher, year, edition, pages
2015. Vol. 64, no 7, 2804-2818 p.
Channel estimation, least squares (LS), maximum a posteriori (MAP), maximum likelihood (ML), minimum error probability (MEP), multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM), 3GPP long-term evolution (LTE)
IdentifiersURN: urn:nbn:se:kth:diva-172177DOI: 10.1109/TVT.2014.2349075ISI: 000358239500005ScopusID: 2-s2.0-84937203238OAI: oai:DiVA.org:kth-172177DiVA: diva2:846609
QC 201508172015-08-172015-08-142015-08-17Bibliographically approved