Title:
Classification-of-interference-in-slow-frequency-
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Description: Abstract—In slow frequency hopping systems, it is critical
to detect, classify, and mitigate interference, as it degrades the
system performance. Generalized likelihood ratio test algorithm
was proposed for the detection of interference. However, it could
not classify the type of interference. In this paper, we propose
algorithms to classify between follower/stationary interference
and multitone interference/partial-band noise interference. Classification
of interference in various types of modulation schemes
is performed based on a ratio-testing approach, where the ratio
is compared with a predetermined threshold value. It is critical
to set the threshold at an optimal value in order to achieve a good
classification performance. The optimal value and classification
performance are obtained through simulation results.
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Classification of interference in slow frequency-hopping systems.pdf
