Analysis: The Effect of Inter Symbol Interference on Optical Communication System
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.2, No. 7)Publication Date: 2013-07-30
Authors : Ruth Chopra;
Page : 1787-1789
Keywords : Pulse Shaping Filter; Raised Cosine Filter; Square Root Raised Cosine Filter; DCF; FBG’s; EDC Equalizers; Zero Forcing Equalizers; and Minimum Mean Square Error Equalizers.;
Abstract
Inter Symbol Interference is considered to be one of the most challenging problems encountered in fiber optical communication system. It causes increase in path loss, delay spread, degraded performance, achieving high data rates becomes impossible, and power penalty increases due to ISI increases due to shortest slot durations. This work is concerned with the "Analysis: The Effect of Inter Symbol Interference on Optical Communication System". Here we describe the technique of equalization to compensate the effect of the Inter Symbol Interference on optical communication system i.e. the effect of ISI which causes distortion in the transmitted signal .Various kinds of techniques are used one such is equalization technique, in which filters are used at the receiving end to cancel the effects of ISI in the received signal introduced by channel impulse response. Various kinds of equalizers are used depending upon the application of the system and the kind of communication channel used. The two main techniques of equalization which are used to compensate the effect of inter symbol interference (ISI) in optical communication are Zero Forcing Equalizer and Minimum mean square equalizer .This work aims at studying and simulation of both the equalization techniques and finally reaching to the result which one is the best method to compensate the effect of Inter Symbol Interference.. Apply equalizer at the receiver to undo the effect of the channel by applying an inverse filter. The First technique used is zero forcing (ZF) equalizer to reduce the effect of inter symbol interference (ISI) introduced by the channel impulse response. The second method used Minimum Mean Square Error (MMSE) equalizer to reduce the effect of inter symbol interference (ISI) introduced by the channel impulse response. Simulation result shows that the Minimum Mean Square Error (MMSE) equalizer reduce the effect of inter symbol interference (ISI) better as compare to that of zero forcing (ZF) equalizer.
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