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

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..

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Abstract

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.

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	Adaptive beamforming; Simulated Kalman Filter
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering Faculty of Manufacturing Engineering
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	08 Oct 2019 06:45
Last Modified:	08 Oct 2019 06:45
URI:	http://umpir.ump.edu.my/id/eprint/24490
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