Abstract
AbstractThis paper presents an efficient data predistortion technique with memory applied to digital transmissions over nonlinear channels, specifically satellite links, employing QAM signal formats. The proposed technique is aimed at reducing the high complexity of a conventional pre‐distorter with memory by splitting the function to be realised into simpler blocks. This approach has been suggested by the circumstance that the numerical channel is constituted, in this case, by a nonlinear memoryless block and by two linear blocks with memory so that the predistorter itself can be realised by two FIR filters separated by a memoryless nonlinear element. As for the nonlinear block, we propose the employment of a neural net performing a typical surface reconstruction task, that is the approximation of the function inverting the nonlinearity source (in this case the high power amplifier). Performance analysis has shown a significant improvement with respect to memoryless predistortion (up to 4.5 dB); our proposal, moreover, outperforms conventional 3‐stage‐memory predistortion as the modulation levels increase and as the spectral shaping gets narrower.
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