New Weapon Target Assignment Algorithms for Multiple Targets Using a Rotational Strategy and Clustering Approach

Autor:	Ji-Eun Kim, Chang-Hun Lee, Mun Yong Yi
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Clustering decision support system kill probability multiple aerial targets operational strategy simulation Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	IEEE Access, Vol 10, Pp 43738-43750 (2022)
Druh dokumentu:	article
ISSN:	2169-3536 06499686
DOI:	10.1109/ACCESS.2022.3168718
Popis:	This paper proposes practical weapon target assignment (WTA) algorithms for a defense system to counter multiple targets concentrated within a narrow area, such as low-altitude rocket threats or drone swarms. Since the probability of kill (PK) is greatly affected by heading errors between launchers and targets in this type of engagement, WTA problems must first be formulated, considering heading error, to reflect more realistic engagement situations. Two WTA algorithms—a rotation-fixed strategy and a rotation strategy— are proposed based on this formulation. Moreover, we propose a method for determining launchers’ initial orientation angles, based on a clustering approach, to further improve the engagement performance of the two algorithms. Numerical simulations were performed to demonstrate the effectiveness of the proposed methods.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/f57b1ee55d064996866f2eef2b0f8923 Zobrazit plný text záznamu View record in DOAJ