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Journal of Electrical and Computer Engineering
Volume 2018 (2018), Article ID 4782718, 9 pages
Research Article

A Sequential Compressed Spectrum Sensing Algorithm against SSDH Attack in Cognitive Radio Networks

1College of Information Science & Technology, Hainan University, Haikou 570228, China
2State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China

Correspondence should be addressed to Yong Bai

Received 10 February 2017; Revised 11 August 2017; Accepted 1 November 2017; Published 2 January 2018

Academic Editor: George S. Tombras

Copyright © 2018 Zhuhua Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.