Research on Interrupted Sampling Repeater Jamming Performance Based on Joint Frequency Shift/Phase Modulation. [PDF]
Sensors (Basel), 2023 Xiao J, Wei X, Sun J.
europepmc +1 more source
Research on risks faced by ADS-B system and solutions
Tongxin xuebaoDue to its open technical system, ADS-B system was vulnerable to active jamming and deception, resulting in reduced performance. Aiming at this problem, the technical characteristics of ADS-B were analyzed, the possible jamming and detection risks faced ...
SUN Baoming, CHEN Juan, GU Zhiming
doaj
Radar Jamming Recognition: Models, Methods, and Prospects
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn modern warfare with complex and changeable electromagnetic environments, radar jamming is getting more complex and realistic, which poses a serious threat to radar; jamming recognition has become a hot topic in the field of electronic countermeasures.
Zan Wang +3 more
doaj +1 more source
How to prevent malicious use of intelligent unmanned swarms? [PDF]
Innovation (Camb), 2023 Wang Q +6 more
europepmc +1 more source
Metasurfaces and Blinking Jamming: Convergent Study, Comparative Analysis, and Challenges. [PDF]
Micromachines (Basel), 2023 Gonçalves Licursi de Mello R.
europepmc +1 more source
Advancing Stepped-Waveform Radar Jamming Techniques for Robust False-Target Generation against LFM-CFAR Systems. [PDF]
Sensors (Basel), 2023 Wang Y, Wang C, Shi Q, Huang J, Yuan N.
europepmc +1 more source
Compound Jamming Recognition Based on a Dual-Channel Neural Network and Feature Fusion
Remote SensingJamming recognition is a significant prior step to achieving effective jamming suppression, and the precise results of the jamming recognition will be beneficial to anti-jamming decisions. However, as the electromagnetic environment becomes more complex,
Hao Chen +6 more
doaj +1 more source
AGC DECEPTION: PERFORMANCE ANALYSIS AND SELECTION OF JAMMING WAVEFORM PARAMETERS [PDF]
, 1999 Alaudeen Asseesy
openalex +1 more source
Recognition of Micro-Motion Jamming Based on Complex-Valued Convolutional Neural Network. [PDF]
Sensors (Basel), 2023 Shi C, Zhang Q, Lin T, Liu Z, Li S.
europepmc +1 more source
Detecting Strategic Deception Using Linear Probes [PDF]
arXivAI models might use deceptive strategies as part of scheming or misaligned behaviour. Monitoring outputs alone is insufficient, since the AI might produce seemingly benign outputs while their internal reasoning is misaligned. We thus evaluate if linear probes can robustly detect deception by monitoring model activations.
arxiv