By Christian Cuadrado-Laborde
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Extra info for Applications of Digital Signal Processing
This reduces the system efﬁciency due to the maximized accumulation of non-linearities and the high signal-ASE (ampliﬁed spontaneous emission) interaction leading to non-linear phase noise (NLPN). So it is beneﬁcial to fully compensate dispersion digitally at the receiver by DBP. The second observation in this article is about the oversampling rate which improves system performance by DBP. , 2009). The results in these articles shows efﬁcient mitigation of CD and NL. , 2010) the performance of DBP is investigated for heterogeneous type transmission links which contain mixed spans of single mode ﬁber (SMF) and non-zero dispersion shifted ﬁber (NZDSF).
Martin, K. (2003). Complex signal processing is not – complex, Proc. of the 29th European Conf. on Solid-State Circuits (ESSCIRC'03), pp. 3-14, Estoril, Portugal, 16-18 Sept. 2003. Molish, A. ; Foerster, J. R. (2003). Channel models for ultra wideband personal area networks. IEEE Wireless Communications, pp. 524-531, Dec. 2003. ; Stoyanov, G. & Egiazarian, K. (2002). Design of adaptive complex IIR notch filter bank for detection of multiple complex sinusoids, Proc. 2nd International Workshop on Spectral Methods and Multirate Signal Processing (SMMSP’2002), pp.
D vers ty 0 90 hybr d st A/D Data out Coherent Receiver and Digital Processing Module Fig. 3. Block diagram of coherent receiver with digital signal processing module of DBP (LC=linear compensation and NLC=non-linear compensation). ﬁber. The SSFM methods which are used to implement the DBP algorithm are discussed in next sections. 1 Asymmetric and Symmetric SSFM (A-SSFM and S-SSFM) SSFM can be implemented by using two conventional methods: asymmetric SSFM (A-SSFM) ˆ is followed by a non-linear operator ( N) ˆ and symmetric method where the linear operator ( D) ˆ is split into two halves and is evaluated SSFM (S-SSFM) method where the linear operator (D) ˆ as shown in Fig.