作者: Yangyi Chen , Shaojing Su , Huiwen Yin , Xiaojun Guo , Zhen Zuo
DOI: 10.3390/S19092174
关键词:
摘要: The cognitive wireless sensor network (CWSN) is an important development direction of networks (WSNs), and spectrum sensing technology essential prerequisite for CWSN to achieve sharing. However, the existing non-cooperative narrowband has difficulty meeting application requirements at present. In this paper, we present a algorithm CWSN, which combines multi-resolution technique, phase space reconstruction method, singular entropy method sense signals. Simulation results validate that can greatly improve detection probability low signal-to-noise ratio (SNR) (from -19dB -12dB), detector quickly best performance as SNR increases. This could promote WSNs.