Optimal allocation of risk probability based on improved PSO algorithm

Yue Di; Dan Han

doi:10.1117/12.3032889

5 July 2024 Optimal allocation of risk probability based on improved PSO algorithm

Yue Di, Dan Han

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843S (2024) https://doi.org/10.1117/12.3032889
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

The continuity risk and integrity risk in the traditional advanced receiver autonomous integrity monitoring (ARAIM) algorithm are equally distributed to all visible satellites, which leads to a relatively conservative vertical protection level (VPL) calculation, and a method to optimize the allocation of risk probability based on the improved particle swarm algorithm is proposed. The improved particle swarm algorithm takes the risk probability allocation strategy as the particle of the algorithm, takes the weighted sum of the vertical protection level VPL as the adaptive function of the algorithm, improves the search capability of the algorithm through nonlinear dynamic adjustment of the inertia weights, and improves the convergence speed of the algorithm through adaptive adjustment of the learning factor, which enables the algorithm to globally perform a stochastic search within the given range to ensure that the algorithm can be more precisely track down the risk probability assignment method that optimizes the VPL value, thus achieving the purpose of improving the availability of ARAIM system. The experimental results show that the proposed method is able to optimize the calculation of VPL and improve the availability of the ARAIM algorithm in both single and dual systems for integrity monitoring.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue Di and Dan Han "Optimal allocation of risk probability based on improved PSO algorithm", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843S (5 July 2024); https://doi.org/10.1117/12.3032889

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Particle swarm optimization

Particles

Error analysis

Stars

Navigation systems

Computer simulations

Global Positioning System

Show All Keywords

Keywords/Phrases

Search In:

Publication Years