Acta Optica Sinica, Volume. 40, Issue 24, 2406003(2020)
Point-by-Point Elimination Adaptive Pre-Equalization Algorithm in Faster-than-Nyquist Wireless Optical Communications
Figures & Tables(9)
Fig. 1. Diagram of proposed adaptive pre-equalization FTN atmospheric optical communication system
Fig. 2. Signal waveform and amplitude frequency characteristics. (a) FTN signals; (b) FTN signals after pre-equalization; (c) amplitude frequency characteristics
Fig. 3. Comparison of 4PAM signal sampling value and pre-equalization signal sampling value
Fig. 5. Relationship between BER and SNR under different τ. (a) τ=0.9; (b) τ=0.6; (c) τ=0.4; (d) τ=0.2
Table 1. Weight table of ISI
View tableTable 1. Weight table of ISI
0 0 … 0 τ=1.0 w1 w2 … wc τ=0.9 w1 w2 … wc τ=0.8 w1 w2 … wc τ=0.7 w1 w2 … wc τ=0.6 w1 w2 … wc τ=0.5 w1 w2 … wc τ=0.4 w1 w2 … wc τ=0.3 w1 w2 … wc τ=0.2 w1 w2 … wc τ=0.1
Table 2. Simulation parameters
View tableTable 2. Simulation parameters
Modulation method 4PAM Segments of filter 6 Number of bits 2×105 Number of sampling per segment 10 Type of filter Raised cosine filter Sampling factor for FTN shaping 1-10 Roll factor 0.3 Scintillation coefficient 0.4 Channel model: log-normal
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Minghua Cao, Wei Zhang, Huiqin Wang, Jiayun Lü. Point-by-Point Elimination Adaptive Pre-Equalization Algorithm in Faster-than-Nyquist Wireless Optical Communications[J]. Acta Optica Sinica, 2020, 40(24): 2406003
Paper Information
Category: Fiber Optics and Optical Communications
Received: Aug. 25, 2020
Accepted: Sep. 28, 2020
Published Online: Dec. 3, 2020
The Author Email: Minghua Cao (caominghua@lut.edu.cn)
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