Open AccessResearch on Positioning of Carrier-Based Aircraft Based on Particle Filter Optimized by Firefly Algorithm
Author(s) -
Yajie Du,
Jianjun Zhao,
Yi Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/2/022084
Subject(s) - particle filter , particle swarm optimization , firefly algorithm , firefly protocol , algorithm , auxiliary particle filter , particle (ecology) , computer science , filter (signal processing) , control theory (sociology) , mathematical optimization , mathematics , artificial intelligence , ensemble kalman filter , computer vision , kalman filter , zoology , oceanography , control (management) , extended kalman filter , biology , geology
In order to improve the positioning accuracy of the landing guidance radar, particle filter algorithm is used to estimate the positioning of the carrier aircraft. In order to solve the problem of the degradation of particle weight and the decrease of filter precision caused by the dilution of sampling particles in the conventional particle filter algorithm, an intelligent optimization particle filter algorithm based on firefly algorithm is proposed. By introducing the optimization mechanism of firefly algorithm into the conventional particle filter algorithm, particles can move to the high likelihood region, improve the overall quality of particle swarm, avoid particle degradation, and improve the filtering accuracy. The experimental results show that the algorithm is more effective and practical than the conventional particle filter algorithm.