Non-data-aided ML symbol timing estimation in MIMO correlated fading channels

Yik Chung Wu, Erchin Serpedin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, the non-data-aided (NDA) maximum likelihood (ML) symbol timing estimator in MIMO correlated channel is derived. It is found that the extended square nonlinearity estimator in [9] is just a special case of the proposed algorithm. Furthermore, the conditional Cramer-Rao bound (CCRB) and the modified Cramer-Rao bound (MCRB) are also established. Simulation results under different operating conditions (e.g., number of antennas and correlation between antennas) are given to assess the performances of the NDA ML estimator and it is found that the mean square errors (MSE)s of the NDA ML estimator i) are close to the CCRBs, but not 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 little effect on the MSE performance.

Original languageEnglish
Title of host publicationVTC 2005-Fall: Mid Way Through the Decade - Technology Past, Present and Future
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2091-2095
Number of pages5
Volume4
ISBN (Electronic)0780391527
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event62nd Vehicular Technology Conference, VTC 2005 - Dallas, United States
Duration: 25 Sep 200528 Sep 2005

Other

Other62nd Vehicular Technology Conference, VTC 2005
CountryUnited States
CityDallas
Period25/9/0528/9/05

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

Wu, Y. C., & Serpedin, E. (2005). Non-data-aided ML symbol timing estimation in MIMO correlated fading channels. In VTC 2005-Fall: Mid Way Through the Decade - Technology Past, Present and Future (Vol. 4, pp. 2091-2095). [1558488] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VETECF.2005.1558488