传统的航空无线电协作频谱感知算法无法区分节点的性质(普通/恶意),而新的加权序贯检测(weighted sequential probability ratio test,WSPRT)算法虽然解决了这个问题,但在具有频谱感知数据篡改(spectrum sensing data falsification,SSDF)攻击节点的环境中,无法保持高的感知正确率。提出了一种改进型WSPRT算法,在传统的WSPRT算法基础上改进了信誉度奖惩方案,增加了临近时间内感知稳定度的量化。从实验仿真结果看,改进后的算法不仅时间复杂度更低,而且能够有效地识别恶意节点.对于恶意用户的判定更准确。
The traditional cooperative spectrum sensing algorithm of aeronautical radio can't distinguish the node type (normal/malicious), though weighted sequential probability ratio test(WSPRT) method meets the requirement but when the spectrum sensing data falsification(SSDF) node is exist, it can't keep high sensing accuracy any more. An improved WSPRT was proposed. On the foundation of traditional WSPRT, reputation rewards and punishment algorithm was improved, and sensing stability factor was taken into account. The simulation results show that it can make identify malicious cognitive nodes easier and make the fusion algorithm distinguish malicious user more accurate.