基于突变搜索人工蜂群算法的无线系统智能抗干扰决策方法

Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang
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引用次数: 5

摘要

由于电磁环境的复杂性,无线系统容易受到各种干扰攻击。与传统的单域抗干扰技术相比,多域智能抗干扰决策具有更大的灵活性,受到了越来越多的关注。然而,决策算法的决策速度和鲁棒性较差,导致在巨大的决策空间中存在非最优通信方案。提出了一种基于突变搜索人工蜂群算法(MSABC)的抗干扰决策方法。数值研究表明,该算法能够在保持归一化速率的同时降低归一化发射功率,找到较好的通信方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Anti-Jamming Decision Method Based on the Mutation Search Artificial Bee Colony Algorithm for Wireless Systems
Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.
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