Distributed electronic warfare system model based on HK (Holme-Kim) network model

Zheng Li; Minghao He; Mingyue Feng; Chunlai Yu

doi:10.1117/12.2640259

9 May 2022 Distributed electronic warfare system model based on HK (Holme-Kim) network model

Zheng Li, Minghao He, Mingyue Feng, Chunlai Yu

Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 1225206 (2022) https://doi.org/10.1117/12.2640259
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China

Abstract

With the widespread application of artificial intelligence technology in the military field, a distributed networked electronic warfare system consisting of a large number of confrontation nodes based on unmanned intelligent platforms is emerging. Due to the characteristics and advantages of intelligence, coordination, self-adaptation, and selforganization, distributed electronic warfare networks have become an important research direction in the current electronic warfare field1 . The research of combat system based on complex network provides a new perspective for the research of combat command and control system, which helps people to grasp the complexity of networked warfare as a whole, and to better understand its topological structure and corresponding dynamics feature. This paper analyzes from the characteristics of distributed electronic warfare network, introduces the HK (Holme-Kim) network model, and combines the operational characteristics of distributed electronic warfare system, selects HK (Holme-Kim) network model to build a complex network model of distributed warfare network, and analyzed its advantages.

Citation Download Citation

Zheng Li, Minghao He, Mingyue Feng, and Chunlai Yu "Distributed electronic warfare system model based on HK (Holme-Kim) network model", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 1225206 (9 May 2022); https://doi.org/10.1117/12.2640259

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