A New Approach based on ant colony algorithm for the automatic modulation recognition of communications signals is
presented. This approach can discriminate between continuous wave (CW), Amplitude Modulation (AM), Frequency
Modulation (FM), Frequency Shift Keying (FSK), Binary Phase Shift Keying (BPSK) and Quaternary Phase Shift
Keying (QPSK) modulations. Requirements for a priori knowledge of the signals are minimized by the inclusion of an
efficient carrier frequency estimator and low sensitivity to variations in the sampling epochs. Computer simulations
indicate good performance on an AWGN channel, even at signal-to-noise ratios as low as 5 dB. This compares favorably
with the performance obtained with most algorithms based on pattern recognition techniques.
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