A Sequential Compressed Spectrum Sensing Algorithm against SSDH Attack in Cognitive Radio Networks
A Sequential Compressed Spectrum Sensing Algorithm against SSDH Attack in Cognitive Radio Networks
复制标题
认知无线电网络中抗 SSDH 攻击的顺序压缩频谱感知算法
DOI：
10.1155/2018/4782718
复制
发表时间：
2018-01
影响因子：
2.4
通讯作者：
Mingshan Xie
中科院分区：
文献类型：
--
作者：
Zhuhua hu;Yong Bai;Lu Cao;Mengxing Huang;Mingshan Xie
频谱感知是无线宽带通信的关键技术之一。如何实现快速、稳健的宽带频谱感知技术仍然是一个挑战。提出了一种新的非重构序列压缩宽带频谱感知算法(NSCWSS)。首先，该算法采用基于历史记忆和信誉的序贯频谱感知方法来保证算法的健壮性。其次，该算法采用无需重构的压缩感知策略，保证了算法的感知灵活性。利用集中式协作感知对该算法进行了仿真分析。理论分析和仿真结果表明，在保证一定检测概率的情况下，该算法有效地减少了信号重构的复杂运算量，显著降低了宽带频谱采样率。同时，在认知宽带通信场景中，该算法在频谱感知方面也实现了对SSDF攻击的较好防御。
Spectrum sensing is one of the key technologies in wireless wideband communication. There are still challenges in respect of how to realize fast and robust wideband spectrum sensing technology. In this paper, a novel nonreconstructed sequential compressed wideband spectrum sensing algorithm (NSCWSS) is proposed. Firstly, the algorithm uses a sequential spectrum sensing method based on history memory and reputation to ensure the robustness of the algorithm. Secondly, the algorithm uses the strategy of compressed sensing without reconstruction, which thus ensures the sensing agility of the algorithm. The algorithm is simulated and analyzed by using the centralized cooperative sensing. The theoretical analysis and simulation results reveal that, under the condition of ensuring the certain detection probability, the proposed algorithm effectively reduces complex computation of signal reconstruction, significantly reducing the wideband spectrum sampling rate. At the same time, in the cognitive wideband communication scenarios, the algorithm also achieves a better defense against the SSDF attack in spectrum sensing.
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期刊：
Journal of Signal Processing
影响因子：
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