[PDF][PDF] A Novel Hybrid Ensemble Model to Identify Spectrum Anomaly

H WEI, Y JIA - scholar.archive.org
How to precisely detect electromagnetic spectrum anomaly is a major challenge for radio
monitoring, especially in the condition of complex electromagnetic environment and lack of …

[HTML][HTML] Spectrum anomaly detection based on spatio-temporal network prediction

C Peng, W Hu, L Wang - Electronics, 2022 - mdpi.com
With the miniaturization of communication devices, the number of distributed
electromagnetic devices is increasing. In order to achieve effective management of the …

An Improved Wireless Spectrum Anomaly Detection Model with Adaptive Attention Mechanism

R Liu, Q Zhang, Y Zhang, C Ma - Proceedings of the 2024 8th …, 2024 - dl.acm.org
Wireless spectrum anomaly detection aims to identify anomaly signals in the environment
and spectrum usage behavior, holding significant implications for spectrum regulation. Due …

Spectrum anomalies autonomous detection in cognitive radio using hidden markov models

W Honghao, J Yunfeng, W Lei - 2015 IEEE advanced …, 2015 - ieeexplore.ieee.org
The precisely detection of electromagnetic spectrum anomaly is important and crucial for
increasing demand on spectrum security, especially in the condition of complex …

A fast cross-band spectrum anomaly detection algorithm based on meta-learning

C Peng, M Zhang, W Hu, L Wang - 2022 7th International …, 2022 - ieeexplore.ieee.org
Spectrum anomaly detection is an important research topic in cognitive radio. It can detect
anomalies by predicting differences between the actual data. Existing deep learning-based …

Research Article Unsupervised Spectrum Anomaly Detection Method for Unauthorized Bands

Y Tian, H Liao, J Xu, Y Wang, S Yuan, N Liu - 2022 - spj.science.org
With the rapid development of wireless communication, spectrum plays increasingly
important role in both military and civilian fields. Spectrum anomaly detection aims at …

[HTML][HTML] Unsupervised spectrum anomaly detection method for unauthorized bands

Y Tian, H Liao, J Xu, Y Wang, S Yuan… - Space: Science & …, 2022 - spj.science.org
With the rapid development of wireless communication, spectrum plays increasingly
important role in both military and civilian fields. Spectrum anomaly detection aims at …

Anomaly detection of spectrum in wireless communication via deep auto-encoders

Q Feng, Y Zhang, C Li, Z Dou, J Wang - The Journal of Supercomputing, 2017 - Springer
Anomaly detection is a typical task in many fields, as well as spectrum monitoring in wireless
communication. Anomaly detection task of spectrum in wireless communication is quite …

Noise attention based spectrum anomaly detection method for unauthorized bands

J Xu, Y Tian, S Yuan, N Liu - arXiv preprint arXiv:2104.08517, 2021 - arxiv.org
Spectrum anomaly detection is of great importance in wireless communication to secure
safety and improve spectrum efficiency. However, spectrum anomaly detection faces many …

Unsupervised Spectrum Anomaly Detection With Distillation and Memory Enhanced Autoencoders

P Qi, T Jiang, J Xu, J He, S Zheng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Spectrum is the fundamental medium for transmitting information services, including
communication, navigation, and detection. Spectrum anomalies can lead to substantial …