Constellation Classification Based on Sequential Monte Carlo for Intersymbol Interference Channels
Wireless Personal Communications: An International Journal
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We develop or new maximum-likelihood method for modulation classification of digital amplitude-phase modulations, applicable to any constellation-based modulation types in an AWGN environment. Under reasonable assumptions, the method is tractable to theoretical performance analysis, something lacking by many existing modulation classification methods. The classifier performance for a variety of modulations is analyzed and the theoretical results are compared with simulations.