Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/13809
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dc.contributor.authorPriyatam K.
dc.contributor.authorBanakar R.M.
dc.contributor.authorShankaranand B.
dc.date.accessioned2020-03-31T14:15:23Z-
dc.date.available2020-03-31T14:15:23Z-
dc.date.issued2008
dc.identifier.citationHandbook of Research in Mobile Business, Second Edition: Technical, Methodological and Social Perspectives, 2008, Vol., pp.354-367en_US
dc.identifier.uri10.4018/978-1-60566-156-8.ch033
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/13809-
dc.description.abstractPhysical layer issues of broadband wireless communication systems form the bottleneck in providing fast and reliable communication over wireless channel. Critical performance limiting challenges are time selective fading channels, frequency selective fading channels, noise, inter symbol interference (ISI), inter carrier interference, power, and bandwidth. Addressing these challenges of wireless broadband communication systems, one can provide faster data processing with lower computational complexity, higher data throughput, and improved performance in terms of bit error rate (BER). In this chapter an effective technique (SISO estimation) to handle interference cancellation is developed. ISI is caused by multi-path propagation. It can be reduced by using a channel equalizer which provides the receiver with the prior knowledge of the channel. Channel estimation is a technique to acquire behavior of the channel. Accuracy of the channel estimation improves the system performance. At BER of 10-4 SISO estimator provide an improvement of 2dB as compared with MMSE DFE estimator. © 2009, IGI Global.en_US
dc.titleISI cancellation in 4G wireless mobilesen_US
dc.typeBook Chapteren_US
Appears in Collections:3. Book Chapters

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