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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2019
|
Subjects: | |
Online Access: | 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 http://umpir.ump.edu.my/id/eprint/24490/ https://doi.org/10.1109/RFM.2018.8846519 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://umpir.ump.edu.my/id/eprint/24490/1/13.%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdfhttp://umpir.ump.edu.my/id/eprint/24490/2/13.1%20%20An%20enhanced%20simulated%20kalman%20filter%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/24490/
https://doi.org/10.1109/RFM.2018.8846519