Targeted Adversarial Attacks Against Deep Learning-Based Wideband Spectrum Sensing
Deep learning-based wideband spectrum sensing models have achieved impressive performance in subband occupancy detection, but their susceptibility to adversarial attacks raises serious concerns.
Shilian Zheng +4 more
doaj +1 more source
Distributed cooperative spectrum sensing based on consensus optimization
A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of ...
ZENG Fan-zi +3 more
doaj +2 more sources
Wideband Spectrum Sensing Based on Single-Channel Sub-Nyquist Sampling for Cognitive Radio. [PDF]
Liu C, Wang H, Zhang J, He Z.
europepmc +1 more source
Wideband Spectrum Sensing Based on Riemannian Distance for Cognitive Radio Networks. [PDF]
Lu Q, Yang S, Liu F.
europepmc +1 more source
IPFSCNN: A Time-Frequency Fusion CNN for Wideband Spectrum Sensing. [PDF]
Kwon SY, Park DH, Kim HN.
europepmc +1 more source
Edge CA-CFAR Data Reduction for Bandwidth-Efficient Real-Time Wideband Spectrum Sensing on Low-Cost SDRs. [PDF]
Bae Y, Lee H, Park H, Jang WH, Jang BJ.
europepmc +1 more source
Compressive Wideband Spectrum Sensing Aided Intelligence Transmitter Design. [PDF]
Qin L, Chen Y, Zhong L, Zhao H.
europepmc +1 more source
Hybrid frequency-domain CFAR detectors for cognitive radio interference resilience and the dual-use security paradox. [PDF]
Shams MS +3 more
europepmc +1 more source
Editorial for the Special Issue on Broadband Terahertz Devices and Communication Technologies, 2nd Edition. [PDF]
Zhang J, Zhang L, Wang K, Yu X.
europepmc +1 more source
A labeled RF signal dataset for UAV detection and classification in the 2.4GHz band under Wifi and Bluetooth coexistence. [PDF]
Mgannem S +4 more
europepmc +1 more source

