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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