Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan
Research on TDOA estimation in sperm whale tracking has been done [1] that uses the Teager - Kaiser operator in improving accuracy the TDOA estimation using adaptive LMS algorithm on sperm whale tracking. However, further researches on the right convergence factor (μ) (fast and accurate) in TDOA est...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | Indonesian |
Published: |
Universitas Gadjah Mada
2015-05-01
|
Series: | IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) |
Subjects: | |
Online Access: | https://jurnal.ugm.ac.id/ijeis/article/view/7149 |
id |
doaj-76c3bb4be58745d0933d1c5806aee220 |
---|---|
record_format |
Article |
spelling |
doaj-76c3bb4be58745d0933d1c5806aee2202020-11-25T01:15:01ZindUniversitas Gadjah MadaIJEIS (Indonesian Journal of Electronics and Instrumentation Systems)2088-37142460-76812015-05-0151112010.22146/ijeis.71496076Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus LodanAndriyan PermanaAgfianto Eko PutraCatur AtmajiResearch on TDOA estimation in sperm whale tracking has been done [1] that uses the Teager - Kaiser operator in improving accuracy the TDOA estimation using adaptive LMS algorithm on sperm whale tracking. However, further researches on the right convergence factor (μ) (fast and accurate) in TDOA estimation using adaptive LMS algorithms for sperm whale tracking have not been performed. Will be analyzed the TDOA estimation using adaptive LMS algorithm in sperm whale tracking with the variation of μ. As a reference to determine the right value of μ, the results of sperm whale tracking[2] is used. TDOA estimation using Adaptive LMS algorithm was first published by Benesty [3]. The approach taken is based on estimation of the impulse responses from source to receivers. In the adaptive LMS algorithm function updates the coefficient with μ as adaptation step. TDOA values obtained from the difference between the two impulse responses. From the results, values changing of μ affect the speed of TDOA estimation using the LMS adaptive algorithm. However, the wrong value of μ is lead to inaccurate sperm whale tracking results. The best value of μ for TDOA estimation using the LMS adaptive algorithm for sperm whale tracking is 0.01.https://jurnal.ugm.ac.id/ijeis/article/view/7149TDOA estimation, adaptive LMS, convergence factor, sperm whale tracking |
collection |
DOAJ |
language |
Indonesian |
format |
Article |
sources |
DOAJ |
author |
Andriyan Permana Agfianto Eko Putra Catur Atmaji |
spellingShingle |
Andriyan Permana Agfianto Eko Putra Catur Atmaji Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) TDOA estimation, adaptive LMS, convergence factor, sperm whale tracking |
author_facet |
Andriyan Permana Agfianto Eko Putra Catur Atmaji |
author_sort |
Andriyan Permana |
title |
Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan |
title_short |
Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan |
title_full |
Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan |
title_fullStr |
Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan |
title_full_unstemmed |
Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan |
title_sort |
analisis perkiraan tdoa menggunakan algoritma lms adaptif pada pelacakan paus lodan |
publisher |
Universitas Gadjah Mada |
series |
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) |
issn |
2088-3714 2460-7681 |
publishDate |
2015-05-01 |
description |
Research on TDOA estimation in sperm whale tracking has been done [1] that uses the Teager - Kaiser operator in improving accuracy the TDOA estimation using adaptive LMS algorithm on sperm whale tracking. However, further researches on the right convergence factor (μ) (fast and accurate) in TDOA estimation using adaptive LMS algorithms for sperm whale tracking have not been performed. Will be analyzed the TDOA estimation using adaptive LMS algorithm in sperm whale tracking with the variation of μ. As a reference to determine the right value of μ, the results of sperm whale tracking[2] is used.
TDOA estimation using Adaptive LMS algorithm was first published by Benesty [3]. The approach taken is based on estimation of the impulse responses from source to receivers. In the adaptive LMS algorithm function updates the coefficient with μ as adaptation step. TDOA values obtained from the difference between the two impulse responses.
From the results, values changing of μ affect the speed of TDOA estimation using the LMS adaptive algorithm. However, the wrong value of μ is lead to inaccurate sperm whale tracking results. The best value of μ for TDOA estimation using the LMS adaptive algorithm for sperm whale tracking is 0.01. |
topic |
TDOA estimation, adaptive LMS, convergence factor, sperm whale tracking |
url |
https://jurnal.ugm.ac.id/ijeis/article/view/7149 |
work_keys_str_mv |
AT andriyanpermana analisisperkiraantdoamenggunakanalgoritmalmsadaptifpadapelacakanpauslodan AT agfiantoekoputra analisisperkiraantdoamenggunakanalgoritmalmsadaptifpadapelacakanpauslodan AT caturatmaji analisisperkiraantdoamenggunakanalgoritmalmsadaptifpadapelacakanpauslodan |
_version_ |
1725154885880512512 |