Data-aided maximum likelihood symbol timing estimation in MIMO correlated fading channels

Yik Chung Wu, Erchin Serpedin

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this paper, the maximum likelihood (ML) symbol timing estimator in MIMO correlated channel based on training data is derived. It is shown that the approximated ML algorithm in [4] and [9] is just a special case of the proposed algorithm. Furthermore, the modified Cramer-Rao bound (MCRB) is also derived for comparison. Simulation results under different operating conditions (e.g., number of antennas and correlation between antennas) are given to assess the performances of the ML estimator and it is found that the mean square errors (MSE)s of the ML estimator i) are close to the MCRBs; ii) are approximately independent of the number of transmit antennas; iii) are inversely proportional to the number of receive antennas and iv) correlation between antennas has no effect on the MSE performance.

Original languageEnglish
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
Publication statusPublished - 2004
Externally publishedYes

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MIMO (control systems)
fading
MIMO systems
Fading channels
Maximum likelihood
antennas
time measurement
Antennas
estimators
Mean square error
Cramer-Rao bounds
education
simulation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

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