Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter

Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter

In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. GOBSKF is an improved version of Simulated Kalman Filter (SKF). Adaptive beamforming algorithm based on GOBS...

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Main Authors: Kelvin, Lazarus, Nurul Hazlina, Noordin, Kamil Zakwan, Mohd Azmi, Nor Hidayati, Abdul Aziz, Zuwairie, Ibrahim
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/14849/
http://umpir.ump.edu.my/id/eprint/14849/
http://umpir.ump.edu.my/id/eprint/14849/1/P001%20pg1-9.pdf
id ump-14849
recordtype eprints
spelling ump-148492018-02-08T01:36:27Z http://umpir.ump.edu.my/id/eprint/14849/ Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter Kelvin, Lazarus Nurul Hazlina, Noordin Kamil Zakwan, Mohd Azmi Nor Hidayati, Abdul Aziz Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. GOBSKF is an improved version of Simulated Kalman Filter (SKF). Adaptive beamforming algorithm based on GOBSKF is compared with previously published work which is Adaptive Mutated Boolean PSO (AMBPSO) and Minimum Variance Distortionless Response (MVDR) for different noise level. The results show that GOBSKF is proven to be better than AMBPSO and MVDR. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14849/1/P001%20pg1-9.pdf Kelvin, Lazarus and Nurul Hazlina, Noordin and Kamil Zakwan, Mohd Azmi and Nor Hidayati, Abdul Aziz and Zuwairie, Ibrahim (2016) Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 1-9.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kelvin, Lazarus
Nurul Hazlina, Noordin
Kamil Zakwan, Mohd Azmi
Nor Hidayati, Abdul Aziz
Zuwairie, Ibrahim
Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
description In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. GOBSKF is an improved version of Simulated Kalman Filter (SKF). Adaptive beamforming algorithm based on GOBSKF is compared with previously published work which is Adaptive Mutated Boolean PSO (AMBPSO) and Minimum Variance Distortionless Response (MVDR) for different noise level. The results show that GOBSKF is proven to be better than AMBPSO and MVDR.
format Conference or Workshop Item
author Kelvin, Lazarus
Nurul Hazlina, Noordin
Kamil Zakwan, Mohd Azmi
Nor Hidayati, Abdul Aziz
Zuwairie, Ibrahim
author_facet Kelvin, Lazarus
Nurul Hazlina, Noordin
Kamil Zakwan, Mohd Azmi
Nor Hidayati, Abdul Aziz
Zuwairie, Ibrahim
author_sort Kelvin, Lazarus
title Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
title_short Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
title_full Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
title_fullStr Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
title_full_unstemmed Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
title_sort adaptive beamforming algorithm based on generalized opposition-based simulated kalman filter
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14849/
http://umpir.ump.edu.my/id/eprint/14849/
http://umpir.ump.edu.my/id/eprint/14849/1/P001%20pg1-9.pdf
first_indexed 2023-09-18T22:19:03Z
last_indexed 2023-09-18T22:19:03Z
_version_ 1777415533363200000

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