Analysis of Fiber Nonlinearities in WDM Fiber Optic Transmission System by Varying Different Parameters
N. Sangeetha1, Rashi Garg2, Surabhi Purwar3, Akshita Singh4

1Prof. N Sangeetha, Department of SENSE, VIT University, Vellore, (Tamil Nadu), India.
2Rashi Garg, Department of SENSE, VIT University, Vellore, (Tamil Nadu), India.
3Surabhi Purwar, Department of SENSE, VIT University, Vellore, (Tamil Nadu), India.
4Akshita Singh, Department of SENSE, VIT University, Vellore, (Tamil Nadu), India.

Manuscript received on 20 March 2014 | Revised Manuscript received on 25 March 2014 | Manuscript published on 30 March 2014 | PP: 45-50 | Volume-3 Issue-1, March 2014 | Retrieval Number: A0995033114/2014©BEIESP
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Abstract: Capacity of optical transmission system can be increased either by using the technique of wavelength division multiplexing (WDM) or by increasing the bit rate of transmission. But with the increased bit rates and launched optical powers the nonlinear optical effects increases. Ultra fast third order susceptibility is reason behind Non Linear Effects whose real part leads to Self Phase Modulation (SPM), Cross Phase Modulation (XPM) and Four Wave Mixing (FWM) and imaginary part contributes to Stimulated Raman Scattering (SRS). SPM converts optical power fluctuations into phase fluctuations in single channel which eventually degrades the signal. XPM causes interference by phase shifts which depend on intensity between two optical fields. This effect limits the input optical power and capacity of the system. Dominating effect of WDM system is FWM. SRS causes unwanted power tilt which reduces optical signal to noise ratio. Performance degradation and channel crosstalk of the system can be induced in multi channel systems by these nonlinearities. In this paper the effects of input power, bitrates, dispersion and various other parameters are observed on nonlinearities using OPTSIM 5.2 software. The results are shown through Quality Factor and Eye diagram.
Keywords: FWM, Non Linear Effects (NLE), SPM, SRS, XPM.

Scope of the Article: Predictive Analysis