中圖分類(lèi)號(hào)： TN925 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.201131 中文引用格式： 石新，劉順蘭，張無(wú)際. 基于證據(jù)理論的特征值之比協(xié)作頻譜感知算法[J].電子技術(shù)應(yīng)用，2021，47(9)：46-50. 英文引用格式： Shi Xin，Liu Shunlan，Zhang Wuji. The ratio of eigenvalues in evidence theory to cooperative spectral sensing algorithm[J]. Application of Electronic Technique，2021，47(9)：46-50.
The ratio of eigenvalues in evidence theory to cooperative spectral sensing algorithm
Shi Xin，Liu Shunlan，Zhang Wuji
School of Electronic Information，Hangzhou Dianzi University，Hangzhou 310018，China
Abstract： In view of the susceptibility of single-node spectrum perception to multipath effect, hidden terminal, path loss and other factors, this paper proposes an eigenvalue ratio cooperative spectrum perception algorithm based on evidence theory. The algorithm takes the ratio of eigenvalues as the local perception result, calculates the reliability by the basic probability distribution(BPA) function and sends it to the fusion center, which conducts data fusion and judgment according to the fusion rules of D-S evidence theory. The simulation results show that compared with the relative algorithm, the algorithm has a higher security against malicious attacks to a certain extent. The detection probability of the algorithm is more prominent in the environment with low SNR or when the false alarm probability is higher than 0.6, and this algorithm also has high energy efficiency.
Key words : Dempster-Shafer evidence theory；random matrix；cooperative spectrum sensing；cognitive radio；eigenvalues
