Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/131632
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dc.titleOptimal and sub-optimal training sequence design for two-dimensional maximum-likelihood channel estimator for single-carrier and multicarrier quasisynchronous CDMA systems
dc.contributor.authorMadhukumar, A.S.
dc.contributor.authorYang, K.
dc.contributor.authorChin, F.
dc.date.accessioned2016-11-29T01:20:57Z
dc.date.available2016-11-29T01:20:57Z
dc.date.issued2003
dc.identifier.citationMadhukumar, A.S., Yang, K., Chin, F. (2003). Optimal and sub-optimal training sequence design for two-dimensional maximum-likelihood channel estimator for single-carrier and multicarrier quasisynchronous CDMA systems. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4 : 157-160. ScholarBank@NUS Repository.
dc.identifier.issn15206149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/131632
dc.description.abstractThis paper proposes a unified two-dimensional maximum-likelihood multipath channel estimator for both multi-carrier and single-carrier CDMA systems with cyclic prefix. The conditions for the optimal training sequence and the lower bound for the performance of this estimator are obtained by solving an optimisation problem. Optimal and sub-optimal training sequences are designed from several classes of sequences with ideal autocorrelation and cross correlation properties. Furthermore, the complexity of this channel estimator will be reduced considerably by applying the optimal training sequence. The simulation result demonstrates that this channel estimator combined with optimal or sub-optimal sequence can give near single-user channel estimation performance even for fully loaded systems.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINSTITUTE FOR COMMUNICATIONS RESEARCH
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.volume4
dc.description.page157-160
dc.description.codenIPROD
dc.identifier.isiutNOT_IN_WOS
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