An enhanced simulated kalman filter algorithm and its application in adaptive beamforming

An enhanced simulated kalman filter algorithm and its application in adaptive beamforming

The Simulated Kalman Filter (SKF) algorithm is a newly introduced optimization algorithm inspired by the estimation capabilities of Kalman filter. In this paper, a population based metaheuristic algorithm named Simulated Kalman Filter with Modified Measurement (SKFMM) is proposed for adaptive beamfo...

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Bibliographic Details
Main Authors: Lazarus, Kelvin, Nurul Hazlina, Noordin, Zuwairie, Ibrahim
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/24490/
http://umpir.ump.edu.my/id/eprint/24490/
http://umpir.ump.edu.my/id/eprint/24490/1/13.%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/24490/2/13.1%20%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf
id ump-24490
recordtype eprints
spelling ump-244902019-10-08T06:45:24Z http://umpir.ump.edu.my/id/eprint/24490/ An enhanced simulated kalman filter algorithm and its application in adaptive beamforming Lazarus, Kelvin Nurul Hazlina, Noordin Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering The Simulated Kalman Filter (SKF) algorithm is a newly introduced optimization algorithm inspired by the estimation capabilities of Kalman filter. In this paper, a population based metaheuristic algorithm named Simulated Kalman Filter with Modified Measurement (SKFMM) is proposed for adaptive beamforming application. SKFMM is compared with the existing SKF and OBSKF algorithms for adaptive beamforming. The experimental results show that the SKFMM algorithm can produce better mean Signal to Interference Plus Noise Ratio (SINR) values compared to the current SKF and OBSKF algorithms for adaptive beamforming application, producing statistically significant results. IEEE 2019-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24490/1/13.%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/24490/2/13.1%20%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf Lazarus, Kelvin and Nurul Hazlina, Noordin and Zuwairie, Ibrahim (2019) An enhanced simulated kalman filter algorithm and its application in adaptive beamforming. In: IEEE International RF and Microwave Conference, RFM 2018, 17 - 19 Disember 2018 , Park Royal Penang. pp. 1-4.. https://doi.org/10.1109/RFM.2018.8846519
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lazarus, Kelvin
Nurul Hazlina, Noordin
Zuwairie, Ibrahim
An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
description The Simulated Kalman Filter (SKF) algorithm is a newly introduced optimization algorithm inspired by the estimation capabilities of Kalman filter. In this paper, a population based metaheuristic algorithm named Simulated Kalman Filter with Modified Measurement (SKFMM) is proposed for adaptive beamforming application. SKFMM is compared with the existing SKF and OBSKF algorithms for adaptive beamforming. The experimental results show that the SKFMM algorithm can produce better mean Signal to Interference Plus Noise Ratio (SINR) values compared to the current SKF and OBSKF algorithms for adaptive beamforming application, producing statistically significant results.
format Conference or Workshop Item
author Lazarus, Kelvin
Nurul Hazlina, Noordin
Zuwairie, Ibrahim
author_facet Lazarus, Kelvin
Nurul Hazlina, Noordin
Zuwairie, Ibrahim
author_sort Lazarus, Kelvin
title An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
title_short An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
title_full An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
title_fullStr An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
title_full_unstemmed An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
title_sort enhanced simulated kalman filter algorithm and its application in adaptive beamforming
publisher IEEE
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/24490/
http://umpir.ump.edu.my/id/eprint/24490/
http://umpir.ump.edu.my/id/eprint/24490/1/13.%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/24490/2/13.1%20%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf
first_indexed 2023-09-18T22:37:05Z
last_indexed 2023-09-18T22:37:05Z
_version_ 1777416668113272832

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