Nichtlineares Neuronales Netzwerk mit Phasennormalisierung zur Basisbandmodellierung von Nichtlinearitäten der Funkfrequenz
Anmelder: Nokia Solutions and Networks Oy 🇫🇮
Details
- Veröffentlichungs-Nr.
- EP4443750
- Aktenzeichen
- EP24164849
- Anmeldetag
- 20. März 2024
- Veröffentlichung
- 9. Oktober 2024
- Rechtsraum
- EP
- IPC
- H04B1/04
Abstract
Various example embodiments relate to mitigation of a non-linearity in a data communication chain. A method may comprise: obtaining a data communication signal comprising a plurality of complex-valued input samples; capturing, from the plurality of complex-valued input samples, a current sample and a set of delayed samples; generating a phase-normalized input signal based on normalizing phase of the current sample and the set of delayed samples by a normalization term, wherein the normalization term is common for the current sample and the set of delayed samples; providing the phase-normalized input signal to a neural network configured to mitigate non-linearity of a data communication chain and to output a complex-valued output sample for each of the plurality of complex-valued input samples; and denormalizing phase of the complex-valued output sample by a denormalization term configured to restore phase of the data communication signal.
Anmelder
- Firma
- Nokia Solutions and Networks Oy
- Land
- 🇫🇮 Finnland
Finnisches Unternehmen der Nokia-Gruppe, das Mobilfunknetzwerktechnik, Telekommunikationsinfrastruktur sowie zugehörige Dienstleistungen für Netzbetreiber weltweit entwickelt.
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