Skip to Main content Skip to Navigation
Journal articles

Asymptotic Cramér-Rao Bounds and Training Design for Uplink MIMO-OFDMA Systems with Frequency Offsets

Abstract : In this paper, we address the data-aided joint estimation of frequency offsets and channel coefficients in the uplink transmission of MIMO OFDMA systems. A compact and informative expression of the Cram´er-Rao Bound (CRB) is derived for large training sequence sizes. It is shown that the asymptotic performance bounds do not depend on the number of users and the values of the frequency offsets. Moreover, we observe that different carrier assignment schemes (CAS) may lead to the same asymptotic CRB. Next, we bring to the fore the training strategies which minimize the asymptotic performance bounds and which are therefore likely to lead to accurate estimates of the parameters. In particular, for a given user, it is shown that accurate frequency offset estimates are likely to be obtained by introducing relevant correlation between training sequences sent at different antennas. On the otherhand, accurate channel estimation is achieved when training sequences sent at different antennas are uncorrelated. Simulation results sustain our claims.
Complete list of metadatas

https://hal-supelec.archives-ouvertes.fr/hal-00226420
Contributor : Catherine Magnet <>
Submitted on : Wednesday, January 30, 2008 - 4:20:53 PM
Last modification on : Monday, October 19, 2020 - 12:07:09 PM

Identifiers

  • HAL Id : hal-00226420, version 1

Citation

Serdar Sezginer, Pascal Bianchi, Walid Hachem. Asymptotic Cramér-Rao Bounds and Training Design for Uplink MIMO-OFDMA Systems with Frequency Offsets. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2007, 55 (7), pp. 3606-3622. ⟨hal-00226420⟩

Share

Metrics

Record views

174