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Conferences > OFC > 2022 > W2A > W2A.36

Volterra Equalization to Compensate for Transceiver Nonlinearity: Performance and Pitfalls

Junho Cho and Son Thai Le

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Abstract

We present an efficient training method of Volterra nonlinear equalization to compensate for transceiver nonlinearity in an experiment sending periodic symbols, analyze its performance, and discuss pitfalls leading to overestimation or underestimation of performance.

© 2022 The Author(s)

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