Comparative Performance of BER in the Simulation of Digital Communication Systems using Raised Cosine Filter

dc.contributor.authorChy., Deepak Kumar
dc.contributor.authorKhaliluzzaman, Md.
dc.date.accessioned2022-07-03T08:48:49Z
dc.date.available2022-07-03T08:48:49Z
dc.date.issued2015-10-30
dc.descriptionVolume 2: Issue 2en_US
dc.description.abstractThe robustness of the digital communication system is illustrated by comparing the BER and SER with and without filter. This research entails the development of a digital communication model that transmits base band data over an additive white Gaussian noise channel (AWGN). The performance of this model is enhanced by employing raised cosine filter which reduce the BER and SER compared to model without filter. The results show that the performance of the system improves when filter is implemented. The performance of 16-QAM is found to be better than that of 32-QAM and 64-QAM, which means that there must be a tradeoff between BER and energy efficiency of Modulation schemes of QAM. In this paper inter symbol interference (ISI) is examined and It is seen that ISI place an important role in digital communication systems. This paper also observed that overall transmission errors are less while increasing the ratio of bit energy per symbol (Eb /N0 ). Matlab communication tool box has been used for simulationen_US
dc.description.sponsorshipResearch Gateen_US
dc.identifier.citationSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/283643810en_US
dc.identifier.issn23741511]
dc.identifier.urihttp://dspace.iiuc.ac.bd:8080/xmlui/handle/123456789/3391
dc.language.isoenen_US
dc.publisherInternational Journal of Advancements in Communication Technologies– IJACTen_US
dc.subjectBERen_US
dc.subjectSERen_US
dc.subjectRaised Cosine filteren_US
dc.subjectTradeoffen_US
dc.subjectQAMen_US
dc.subjectISIen_US
dc.subjectAWGNen_US
dc.titleComparative Performance of BER in the Simulation of Digital Communication Systems using Raised Cosine Filteren_US
dc.typeArticleen_US

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