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

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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/24490/1/13.%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

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