In this paper, the problem of classification of coherent QPSK signals, transmitted over the channel with an additive white non-Gaussian noise, is considered. Contrary to conventional QPSK detectors (clasifiers), that consist of the pair of correlators, decision devices and a multiplexer, and are commonly used in the case of the additive white Gaussian noise (AWGN) transmission channel (1), classification is based on analysis of n samples of the received QPSK signal representing a dibit. The proposed classification procedure is robust in the Huber minimax sense (2) on the class of Ɛ-contaminated Gaussian noises.
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