A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks

Author:

Zhang Ya,Zhang Qin,Melodia Tommaso

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation

Cited by 53 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Weak Signal Detection based on Beta Divergence;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25

2. A Novel Signal Detector based on Approximated Fractional Integrator in Frequency Domain;2023 International Conference on Fractional Differentiation and Its Applications (ICFDA);2023-03-14

3. Improving Spectrum Sensing for Cognitive Radio Network Using the Energy Detection with Entropy Method;Journal of Electrical and Computer Engineering;2022-09-17

4. Machine Learning Techniques Based on Primary User Emulation Detection in Mobile Cognitive Radio Networks;Sensors;2022-06-21

5. A neural network approach for wireless spectrum anomaly detection in 5G-unlicensed network;CCF Transactions on Pervasive Computing and Interaction;2022-04-20

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