Abstract
We propose a method of modulation format identification based on
compressed sensing using a high-order cyclic cumulant combined with a
binary tree classifier. Through computing the fourth-order cyclic cumulant
of the pretreated band signal, which is obtained by compressed sensing
with the sampling rate much less than the Nyquist sampling value, the
feature vector for classification is extracted. Simulations are carried
out in the optical coherent fiber communication system with different
modulation formats of multiple phase-shift keying and multiple quadrature
amplitude modulation. The results indicate that this method can identify
these modulation formats correctly and efficiently. Meanwhile, the
proposed method is insensitive to laser phase noise and signal
noise.
© 2016 Chinese Laser Press
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