Cognitive Interference Mitigation
Cognitive Interference Mitigation is a radio frequency interference mitigation framework that dynamically identifies, characterizes, and adapts to interference sources by leveraging real-time spectrum sensing, machine learning, and decision-making mechanisms to autonomously optimize signal reception in congested electromagnetic environments.
287
Publications
13.5K
Citations
838
Authors
386
Institutions
Publications per year
2017–2026
66
287
Signal Processing in Cognitive Radio
Jun Ma, G.Y. Li, Biing Hwang Juang · Proceedings of the IEEE · 2009 · 540 citations
1–5 of 287
838
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386
University of Luxembourg
Luxembourg, Luxembourg
11 h-index
36 publications
1.5K citations

DEVCOM Army Research Laboratory
Adelphi, United States
11 h-index
25 publications
758 citations

Supélec
Gif-sur-Yvette, France
6 h-index
11 publications
261 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
6 h-index
6 publications
213 citations
Stanford University
Stanford, United States
5 h-index
13 publications
516 citations
University of New Mexico
Albuquerque, United States
5 h-index
11 publications
273 citations

Pennsylvania State University
State College, United States
5 h-index
11 publications
306 citations
Harvard University
Cambridge, United States
5 h-index
9 publications
318 citations
1–8 of 386
10 publications · 604 citations
10
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9 publications · 428 citations
9
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7 publications · 437 citations
7
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6 publications · 223 citations
6
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6 publications · 375 citations
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