一种基于PUE恶意干扰的认知无线电态势感知方案

Situation Awareness Scheme Based on PUE Detecting for Cognitive Radio

为了能及时、准确地掌握大范围内的仿冒主用户攻击情况及正确显示频谱态势图,提出一种基于仿冒主用户攻击检测的恶意用户干扰态势的研究方案,通过检测信道是否被恶意用户仿冒主用户攻击及对实施攻击的恶意用户的能量分布的检测与推理来构建干扰态势,并将其绘制成干扰态势图,从而方便决策者快速掌握大范围中的仿冒主用户攻击情况。仿真结果表明,该方案能够把主用户和恶意用户的能量及位置分离出来,从而充分发掘潜在的频谱空洞,提高频谱图的准确性,进而提高系统容量及安全性。

To timely and accurately grasp the attack situation over a wide range when a malicious user emulates the primary user and attacks the channel, and to display correctly spectrum situation, a situation awareness scheme for the interference situation of malicious users was proposed. Decision-makers can know well the attack situation over a wide range, by detecting the primary user emulation attacker＇s energy and location to build the interference situation, and drew the interference into a situation map. The proposed approach can separate the energy and position of the primary users and malicious users, so as to fully exploit the potential of spectrum holes to improve the accuracy of the spectrum map, and improve safety and system capacity of the channels.