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Real-time Modulation Classification Based On Maximum Likelihood

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3 Author(s)
Wei Su ; RD&E Center, US Army Commun.-Electron., Fort Monmouth, NJ ; Xu, J.L. ; MengChu Zhou

This paper describes a likelihood test based modulation classification method for identifying the modulation scheme of a software-defined radio (SDR) in real-time without pilot symbols between transmitters and receivers. Unlike the prior art, the paper converts an unknown signal symbol to an address of the look-up table (LUT), loads the pre-calculated values of the test functions for the likelihood ratio test, and produces the estimated modulation scheme in real-time. The statistical performance of the LUT based classifier is studied. Simulation results are presented to confirm the theoretical analysis.

Published in:

Communications Letters, IEEE  (Volume:12 ,  Issue: 11 )