An accurate-evaluator-based multipursuer multitarget assignment by maximizing interception probability

Li Wenbo; Song Tao; Tao Hong; Li Fan; Quan Xuwei; Xu Chao

doi:10.1117/12.3032653

16 August 2024 An accurate-evaluator-based multipursuer multitarget assignment by maximizing interception probability

Li Wenbo, Song Tao, Tao Hong, Li Fan, Quan Xuwei, Xu Chao

Proceedings Volume 13218, First Aerospace Frontiers Conference (AFC 2024); 132181Y (2024) https://doi.org/10.1117/12.3032653
Event: First Aerospace Frontiers Conference (AFC 2024), 2024, Xi’an, China

Abstract

To address the issue of intercepting target unmanned aerial vehicle(UAV) swarms with UAV swarms (SIS), this paper proposes an accurate evaluator to solve the multi-pursuer multi-target assignment（MPMTA）problem, also known as the traditional Weapon Target Assignment (WTA) method, aiming to achieve high-probability interceptions. Firstly, the covariance analysis technique is introduced to calculate the mean and variance of the miss distance, which are combined with the damage radius of airborne warheads to accurately evaluate the probability of interceptions. Then, this accurate index is utilized to formulate the MPMTA model with the consideration of the target’s threat. Additionally, the improved Column Enumeration (ICE) method is introduced to solve the accurate model rapidly and exactly. The ICE method employs the marginal return optimization approach to determine the initial values for the column enumeration problem and effectively combines the advantages of heuristic algorithms in terms of computational speed and the optimality of exact algorithms. Numerical simulations validate the effectiveness of this method based on an accurate evaluator, demonstrating that the accurate interception probability model and precise algorithm enhance the accuracy of the MPMTA assignment problem.

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

Citation Download Citation

Li Wenbo, Song Tao, Tao Hong, Li Fan, Quan Xuwei, and Xu Chao "An accurate-evaluator-based multipursuer multitarget assignment by maximizing interception probability", Proc. SPIE 13218, First Aerospace Frontiers Conference (AFC 2024), 132181Y (16 August 2024); https://doi.org/10.1117/12.3032653

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