摘要： 在无线认知传感器网络中，感知节点采用能量检测法在低信噪比下检测概率较低，而传统循环平稳检测法复杂度过高。为此，采用一种基于频域简化的单循环平稳检测算法，推导算法虚警概率的闭合表达式，建立检测概率与实际信噪比之间的关系式。理论研究与仿真分析表明，该算法复杂度低于循环平稳检测法，与能量检测法持平，可以满足无线认知传感器网络中对频谱感知的性能要求。
关键词:
无线认知传感器网络,
频谱感知,
循环平稳检测,
能量检测,
复杂度分析
Abstract: Aiming at problem of the low probability of detection in low Signal Noice Rate(SNR) and high computation complex for traditional cyclic spectrum in the node of Wireless Cognitive Sensor Network(WCSN), a frequency-domain simplified single cyclostationary detection algorithm is adopted. A closed expression of false alarm probability is obtained, and the expression of direct relationship between detection probability and SNR in actual wireless environment is found out. Theoretical studies and simulation results show that the complexity of this algorithm is much lower than traditional cyclostationary detection, and as same as energy detection, so the algorithm can meet the performance of spectrum sensing in WCSN.
Key words:
Wireless Cognitive Sensor Network(WCSN) spectrum sensing,
cyclostationary detection,
energy detection,
complexity analysis
中图分类号:
李强. 基于循环平稳检测的WCSN频谱感知算法[J]. 计算机工程, 2012, 38(23): 92-94,100.
LI Jiang. Spectrum Sensing Algorithm for Wireless Cognitive Sensor Network Based on Cyclostationary Detection[J]. Computer Engineering, 2012, 38(23): 92-94,100.