Automatic Classification of Digitally Modulated Signals Based on K-Nearest Neighbor
作者： Sun-Phil Nah , Bo-Seok Seo , Woo-Hyun Ahn
DOI: 10.1007/978-94-017-9558-6_8
关键词:
摘要: In this paper, we propose an automatic classification method for eight digitally modulated signals, such as 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK, 16QAM, and 64QAM. The uses spectral correlation density high-order cumulants features. For feature classification, K-nearest neighbor algorithm is used. Simulation results are demonstrated to evaluate the proposed scheme.
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