Laser & Optoelectronics Progress, Volume. 55, Issue 6, 060602(2018)
Modulation Recognition of Wireless Optical Subcarrier Based on Fuzzy Clustering and Back Propagation Neural Net
Fig. 1. Clustering constellation of subcarrier MPSK signal in atmospheric turbulence channel. (a) BPSK, σχ2=0.1; (b) BPSK, σχ2=0.2; (c) QPSK, σχ2=0.1; (d) QPSK, σχ2=0.2; (e) 8PSK, σχ2=0.1; (f) 8PSK, σχ2=0.2; (g) 16PSK, σχ2=0.1; (h) 16PSK, σχ2=0.2
Fig. 2. Hard tendency mean of fuzzy clustering corresponding to four kinds of modulation modes. (a) T2; (b) T4; (c) T8; (d) T16
Fig. 3. Mean square error curve of improved BP neural network. (a) σχ2=0.1; (b) σχ2=0.2
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Dan Chen, Chenhao Wang, Boyu Yao. Modulation Recognition of Wireless Optical Subcarrier Based on Fuzzy Clustering and Back Propagation Neural Net[J]. Laser & Optoelectronics Progress, 2018, 55(6): 060602
Category: Fiber Optics and Optical Communications
Received: Nov. 13, 2017
Accepted: --
Published Online: Sep. 11, 2018
The Author Email: Dan Chen (chdh@xaut.edu.cn)