Seongjin Ahn

Enhanced modulation classification algorithm based on Kolmogorov-Smirnov test

2017

We propose an enhanced automatic modulation classification algorithm based on Kolmogorov-Smirnov test. The proposed classifier employs the real and imaginary components extracted from the received signal as separate decision statistics. Also, unlike the conventional K-S …

Performance Analysis of Modulation Classification with a Preprocessing

2020

In this paper, we propose a preprocessing method for automatic modulation classification that allows reliable classification of the digital baseband modulation schemes whose signal constellations have symmetry about the in-phase and quadrature axes. The proposed …