The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical Engineering University of Southern California

Technical Report USC-SIPI-296

“Classification of Quadrature Amplitude Modulated (QAM) Signals via Sequential Probability Ratio Test (SPRT)”

by Yu-Chuan Lin and C.-C. Jay Kuo

April 1996

A novel approach to automatic classification of quadrature amplitude modulated (QAM) signals is presented in this research. Modulation classification has been traditionally treated as a hypothesis test problem with input signals of a fixed sample size. By formulating it as a variable sample size test problem, we propose a new classification algorithm based on the sequential probability ratio test (SPRT). It is demonstrated that the new approach has several important merits, including ease of error rate control, lower computational complexity and lower decision delay.

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