By Christian Cuadrado-Laborde
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Additional info for Applications of Digital Signal Processing
As the signals propagate to the end of the link, the accumulated spectral phase distortions are reverted back to the value at the beginning of the link if perfect symmetry of the link is assured. , 2009), this technique is demonstrated for real-time implementation in 100Gbit/s POLMUX-DQPSK transmission. , 2008) by using the non-linear amplifying loop mirror (NALM). In this technique the incoming signal is split asymmetrically at the ﬁber coupler 26 Applications of Digital Signal Processing Chromatic Dispersion t Non Linearities t w Noise Attenuation t w t t t Fig.
5, is introduced in each DBP step. The digital LPF limits the bandwidth of the compensating waveform so we can optimize the compensation for the low frequency intensity ﬂuctuations without overcompensating for the high-frequency intensity ﬂuctuations. This ﬁltering also reduces the required oversampling factor. e bandwidth is very narrow when very few BP steps are used and bandwidth increases accordingly when more DBP stages are used. 6 dB for single wavelength CO-OFDM and CO-QPSK systems, respectively, in a 3200 km (40x80km) single-mode ﬁber link, with no optical dispersion compensation.
12; ∂E = − Nˆ − Dˆ E (12) ∂z ˆ are the linear and non-linear operators respectively. Whereas; the Dˆ and N The performance of DBP algorithm mainly depends on the estimation of propagating parameters of NLSE. To numerically solve NLSE with high accuracy, split-step Fourier method (SSFM) is used as discussed in the previous section. e. linear ˆ are solved separately and also that linear D ˆ part is solved in frequency Dˆ and non-linear N ˆ is solved in time domain. This DBP model can be implemented domain whereas non-linear N both on the transmitter side as well as on the receiver side.
Applications of Digital Signal Processing by Christian Cuadrado-Laborde