Classification of follower/stationary interference and multitone interference/partial-band interference in slow frequency-hopping systems

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.