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This Final Project used LS and LMS algorithm for the channel estimation and equalization technique in mobile WiMAX system. LS algorithm is the simplest but least accurate for time varying channel. LMS algorithm is an improvement of LS algorithm which adaptive with time varying channel.<p> <...

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Main Author: DEVI DIANANTARI (NIM 13204138), PARAMITA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/11120
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:11120
spelling id-itb.:111202017-09-27T10:18:44Z#TITLE_ALTERNATIVE# DEVI DIANANTARI (NIM 13204138), PARAMITA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11120 This Final Project used LS and LMS algorithm for the channel estimation and equalization technique in mobile WiMAX system. LS algorithm is the simplest but least accurate for time varying channel. LMS algorithm is an improvement of LS algorithm which adaptive with time varying channel.<p> <br /> <br /> <br /> <br /> <br /> Evaluation is by learning the BER vs. SNR graph in each algorithm to acknowledge the influence of user velocity and appropriate pilot length interval for this system.<p> <br /> <br /> <br /> <br /> <br /> From this evaluation derived that the system which use channel estimation and equalization technique with LMS algorithm gives better performance than LS algorithm. High user velocity shows performance system degradation. For system with channel bandwidth 5 MHz and 512 point FFT which use channel estimation and equalization technique with LMS algorithm, the appropriate pilot length interval with comb type inserting technique is 8. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This Final Project used LS and LMS algorithm for the channel estimation and equalization technique in mobile WiMAX system. LS algorithm is the simplest but least accurate for time varying channel. LMS algorithm is an improvement of LS algorithm which adaptive with time varying channel.<p> <br /> <br /> <br /> <br /> <br /> Evaluation is by learning the BER vs. SNR graph in each algorithm to acknowledge the influence of user velocity and appropriate pilot length interval for this system.<p> <br /> <br /> <br /> <br /> <br /> From this evaluation derived that the system which use channel estimation and equalization technique with LMS algorithm gives better performance than LS algorithm. High user velocity shows performance system degradation. For system with channel bandwidth 5 MHz and 512 point FFT which use channel estimation and equalization technique with LMS algorithm, the appropriate pilot length interval with comb type inserting technique is 8.
format Final Project
author DEVI DIANANTARI (NIM 13204138), PARAMITA
spellingShingle DEVI DIANANTARI (NIM 13204138), PARAMITA
#TITLE_ALTERNATIVE#
author_facet DEVI DIANANTARI (NIM 13204138), PARAMITA
author_sort DEVI DIANANTARI (NIM 13204138), PARAMITA
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/11120
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