Abstract
This chapter discusses equalization technique, which is an electronic means for improving performance using equalizer circuits in the receiving terminal, which in principle, can be added for upgrading an existing system. Equalization is used in lightwave systems to significantly increase the data rate and reduce the effect of transmission impairments and thus, improve performance. The chapter illustrates the challenges encountered in lightwave applications and surveys the mathematical techniques that can be employed for mitigating many of the impairments. The chapter also describes recent experimental implementations of equalizers. It is noted that the linear equalizer (LE) and the decision feedback equalizer (DFE) equalization algorithms are commonly derived assuming a known channel impulse response (CIR). Such equalization algorithms learn the channel state in the training period during which a known data sequence is transmitted. It is also observed that an equalizer can compensate for channel distortion even in the absence of known symbols, by using blind deconvolution algorithms.
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