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Conference Paper: Non-data-aided ML symbol timing estimation in MIMO correlated fading channels
Title | Non-data-aided ML symbol timing estimation in MIMO correlated fading channels |
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Authors | |
Keywords | Transportation Automobiles |
Issue Date | 2005 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000784 |
Citation | The 62nd IEEE Vehicular Technology Conference (VTC-2005-Fall), Dallas, TX., 25-28 September 2005. In Conference Proceedings, 2005, v. 4, p. 2091-2095 How to Cite? |
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 SE
performance. |
Persistent Identifier | http://hdl.handle.net/10722/45944 |
ISSN | 2020 SCImago Journal Rankings: 0.277 |
DC Field | Value | Language |
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dc.contributor.author | Wu, YC | en_HK |
dc.contributor.author | Serpedin, E | en_HK |
dc.date.accessioned | 2007-10-30T06:39:09Z | - |
dc.date.available | 2007-10-30T06:39:09Z | - |
dc.date.issued | 2005 | en_HK |
dc.identifier.citation | The 62nd IEEE Vehicular Technology Conference (VTC-2005-Fall), Dallas, TX., 25-28 September 2005. In Conference Proceedings, 2005, v. 4, p. 2091-2095 | en_HK |
dc.identifier.issn | 1550-2252 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/45944 | - |
dc.description.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 SE performance. | en_HK |
dc.language | eng | en_HK |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000784 | en_HK |
dc.relation.ispartof | IEEE Vehicular Technology Conference | - |
dc.rights | ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Transportation | en_HK |
dc.subject | Automobiles | en_HK |
dc.title | Non-data-aided ML symbol timing estimation in MIMO correlated fading channels | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1550-2252&volume=4&spage=2091&epage=2095&date=2005&atitle=Non-data-aided+ML+symbol+timing+estimation+in+MIMO+correlated+fading+channels | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/VETECF.2005.1558488 | en_HK |
dc.identifier.scopus | eid_2-s2.0-84931467618 | - |