Comparative study of least mean square and recursive least square adaptive beamforming algorithms on CDMA based networks for improved performance (Record no. 18866)

MARC details
000 -LEADER
fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230214145602.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230214b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 20002
Author Alor, M. O.
245 ## - TITLE STATEMENT
Title Comparative study of least mean square and recursive least square adaptive beamforming algorithms on CDMA based networks for improved performance
250 ## - EDITION STATEMENT
Volume, Issue number Vol.12(6), Nov-Dec
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Haryana
Name of publisher, distributor, etc. IOSR - International Organization of Scientific Research
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 40-45p.
520 ## - SUMMARY, ETC.
Summary, etc. This paper aimed at a comparative study of the performance of the Least Mean Square (LMS) and Recursive<br/>Least Square (RLS) algorithms of the adaptive beam forming antenna on the CDMA based network. The smart<br/>antenna test-bed used include a single input multiple output system which consists of one transmitter and six<br/>receivers. During experimentation, the interference and noise reduction capabilities of the adaptive antenna<br/>were investigated using the LMS and RLS algorithms. Also, the two adaptive algorithms were simulated and<br/>evaluated for a 6 uniform linear array elements with inter-element spacing of 0.5λ on the CDMA based network<br/>using MATLAB version 7.5. In the simulation, the angle of arrival of the desired signal and the interfering<br/>signal were at 30 ̊ and 60 ̊ respectively. The desired signal was assumed to be a complex sinusoidal phase<br/>modulated and the interfering signal assumed as random signal. Results obtained showed that the recursive<br/>least square algorithm started to converge from iteration number 20 while least mean square algorithm started<br/>to converge from iteration number 50. Result also showed that the recursive least error was 0.001 at 20<br/>iterations, while least square error was 0.025 at 20 iterations. Result obtained also showed that RLS algorithm<br/>has lower bit error rate of order 10-3 compared to LMS algorithm.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 20003
Co-Author Ifeagwu, Emmanuel N.
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Gurgaon International Organization Of Scientific Research (IOSR)
International Standard Serial Number 2319 – 4197
Title IOSR journal of VLSI and signal processing (IOSR-JVSP)
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://www.iosrjournals.org/iosr-jvlsi/papers/vol12-issue6/E12064045.pdf
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 14/02/2023   2023-0324 14/02/2023 14/02/2023 Articles Abstract Database
Unique Visitors hit counter Total Page Views free counter
Implemented and Maintained by AIKTC-KRRC (Central Library).
For any Suggestions/Query Contact to library or Email: librarian@aiktc.ac.in | Ph:+91 22 27481247
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.