By Christian Cuadrado-Laborde
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Extra resources for Applications of Digital Signal Processing
The third RFI mitigation approach is based on the complex DSP parallel adaptive complex filtering technique. A notch ACFB is connected at the receiver’s inputs in order to identify and eliminate the RFI signal. The adaptation algorithm tunes the filter at each receiver input in such a way that its central frequency and bandwidth match the RFI signal spectrum (Lee et al, 2007). Using the above-described general simulation model of a MIMO GDSL system (Fig. 11), different experiments are performed deriving the BER as a function of the SIR.
Operator is below a certain value. 05 rad, the split-step Fourier method gives a good result for simulation of most optical communication systems. 11 will greatly depend on the step-size of h. The block diagram of SSFM method is shown in Fig. 4. 2 Digital backward propagation (DBP) The non-linear Schrödinger equation can be solved inversely to calculate the undistorted transmitted signal from the distorted received signal. e. e. dispersion D, non-linear coefﬁcient γ. The method is termed as digital backward propagation (DBP) and is illustrated in Fig.
However actual implementation of the DBP algorithm is now-a-days extremely challenging due to its complexity. , 2011) for WDM and higher baud-rate transmissions. e. 1 of this chapter). This method takes into account the correlation between adjacent symbols at a given instant using a weighted-average approach, and an optimization of the position of non-linear compensator 30 Applications of Digital Signal Processing stage. , 2011) the investigations depict the results in 100GHz channel spaced DP-QPSK transmission and multi-span DBP shows a reduction of DBP stages upto 75%.