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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2019
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| Subjects: | |
| 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 |
Internet
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