dc.contributor.author | Venkatesh, S. | en |
dc.contributor.author | Voulgaris, P. | en |
dc.contributor.author | Hadjicostis, Christoforos N. | en |
dc.creator | Venkatesh, S. | en |
dc.creator | Voulgaris, P. | en |
dc.creator | Hadjicostis, Christoforos N. | en |
dc.date.accessioned | 2019-04-08T07:48:38Z | |
dc.date.available | 2019-04-08T07:48:38Z | |
dc.date.issued | 2003 | |
dc.identifier.isbn | 0-7803-7924-1 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/45054 | |
dc.description.abstract | In this paper we present a control theoretic frame-work for channel equalization. Channel equalization methods are used to mitigate the effects of inter-symbol interference (ISI). Traditional methods, maximize the signal to noise ratio (SNR) in an attempt to convert a bandlimited ISI channel into a memoryless AWGN channel, which is then followed by symbol detection. Nevertheless, for the purpose of reliable symbol detection both problems - SNR maximization and AWGN channel conversion - are not reflective of the error probability and lead typically to suboptimal solutions. Our viewpoint in this paper is to directly characterize the overall probability of symbol error by means of a Chernoff type bound for a given channel/receiver combination. The main idea behind our technique is to exploit the randomness of transmitted symbols to average out ISI rather than invert the channel dynamics. The problem reduces to choosing a receiver that minimizes the exponent in the Chernoff bound. This problem is shown to reduce to a mixed ℓ1/ℓ ∞ problem whose solution can be completely characterized. We comment on how the solution methodology can have implications for a fundamental understanding of the tradeoff between channel uncertainty and bit error probability, a situation commonly encountered in wireless communications. | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-1542288369&doi=10.1109%2fCDC.2003.1273108&partnerID=40&md5=aaef4d5269b95568ea5f116f0f990ac5 | |
dc.subject | Problem solving | en |
dc.subject | Optimization | en |
dc.subject | Algorithms | en |
dc.subject | Probability | en |
dc.subject | Perturbation techniques | en |
dc.subject | Wireless telecommunication systems | en |
dc.subject | Error analysis | en |
dc.subject | Feedback control | en |
dc.subject | White noise | en |
dc.subject | Spurious signal noise | en |
dc.subject | Communication channels (information theory) | en |
dc.subject | Signal receivers | en |
dc.subject | Large deviations | en |
dc.subject | Signal to noise ratio | en |
dc.subject | Time varying control systems | en |
dc.subject | Equalization | en |
dc.subject | Channel equalization | en |
dc.subject | Discrete data reconstruction | en |
dc.subject | ℓ1/ℓ∞ optimality | en |
dc.subject | L1/l∞ optimality | en |
dc.subject | Multi path effects | en |
dc.subject | Multiuser interference (mai) | en |
dc.subject | Radio interference | en |
dc.subject | Worst case | en |
dc.subject | Worst case analysis | en |
dc.title | A Systems Approach to Channel Equalization | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/CDC.2003.1273108 | |
dc.description.volume | 3 | |
dc.description.startingpage | 3155 | |
dc.description.endingpage | 3160 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Hadjicostis, Christoforos N. [0000-0002-1706-708X] | |
dc.gnosis.orcid | 0000-0002-1706-708X | |