Capabilities of smart antenna in tracking the desired signal in wireless communication system through non-blind adaptive algorithms

Simple item page
dc.contributor.authorKitindi, Edvin J.
dc.date.accessioned2023-03-15T07:08:01Z
dc.date.available2023-03-15T07:08:01Z
dc.date.issued2015-02
dc.descriptionArticleen_US
dc.description.abstractFuture wireless systems will require higher data rates with better coverage for a wide variety of users operating with a large variety of different systems. To achieve these goals, greater power, interference suppression, and multipath mitigation are needed. Smart antenna gives a promising future for wireless communication systems since it can improve the capacity, extend coverage and provide better quality services by tracking users, switching beams accordingly. In this paper three non-blind adaptive beamforming algorithms, least mean square (LMS), Recursive Least square (RLS) and Sample matrix inversion (SMI) have been studied. Investigation of their performances in tracking a desired user has been made and compared. All the three algorithms direct their beams towards a desired user and place nulls towards interferer. However the rate of their performance differs from each other.en_US
dc.identifier.issn2278-1021
dc.identifier.urihttp://www.suaire.sua.ac.tz/handle/123456789/5014
dc.language.isoenen_US
dc.publishernternational Journal of Advanced Research in Computer and Communication Engineeringen_US
dc.relation.ispartofseriesVol. 4, Issue 2;
dc.subjectNon-blind adaptive algorithmsen_US
dc.subjectLMSen_US
dc.subjectRLSen_US
dc.subjectSMIen_US
dc.subjectDesired useren_US
dc.subjectDesired signalen_US
dc.subjectBeamformingen_US
dc.titleCapabilities of smart antenna in tracking the desired signal in wireless communication system through non-blind adaptive algorithmsen_US
dc.typeArticleen_US
dc.url10.17148/IJARCCE.2015.4202en_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Capabilities_of_smart_antenna_in_trackin.pdf
Size:
336.82 KB
Format:
Adobe Portable Document Format
Description:
Main article
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.67 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Articles, Conference and Workshop Papers Collection