CCBA: Dynamic Scheduling Algorithm for Jammer Resources in Strong Electromagnetic Interference Environment

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Authors: Zhen Wei, Wenpeng Wu, Haiyang You, Zhaoguang Zhang, Chenxi Li, Jianwei Zhan, Shan Zhao
Cited by: 0
References: 36

Abstract

The strong electromagnetic interference environment on the battlefield has brought new challenges to the networking collaboration of jammers and the estimation of jamming effects. Traditional successful jamming indicators are difficult to meet the needs of continuous, low-power, and flexible jamming, causing difficulties in emergency scheduling of jamming resources. Aiming at the overall degradation of the communication party’s signal reception quality, this paper proposes the restrictive conditions of “overall limited jamming” and the analysis and evaluation index of “multistage jamming-to-signal ratio (J/S)”, which meets the scheduling requirements of distributed jamming resources in harsh environments. Based on the jammer layout that can achieve overall high-intensity jamming, the electromagnetic environment estimation, power scheduling, and collaboration strategies of jammers are designed, a communication countermeasure game algorithm under blocked networking collaboration is established, and the independent dynamic scheduling of jamming resources is realized. The experimental results show that the Concentric Circle Broadcasting Algorithm (CCBA) not only maintains effective communication jamming (the proportion of high-intensity jamming is no less than 50%, and the proportion of normal signal reception of communication nodes is no more than 6%), but also extends the system operation duration by 66.8–269.6% compared with the comparative algorithms for the 600 MHz fixed-frequency and 1 MHz bandwidth communication system. This work is limited to the line-of-sight (LOS) scenario, and future research will extend it to non-line-of-sight (NLOS) scenarios.

Fields of Study & Subjects

Military Technology and Strategies Radar Systems and Signal Processing Mobile Ad Hoc Networks

Publication details

Journal / source
Future Internet
Volume
18
Issue
3
Pages
153–153
Publication date
16 March 2026
Language
EN