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2012 (Engelska)Ingår i: 2012 Swedish Communication Technologies Workshop (Swe-CTW), IEEE conference proceedings, 2012, s. 36-39Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
The indirect learning architecture (ILA) is the mostused methodology for the identification of Digital Pre-distorter (DPD) functions for nonlinear systems, particularly for high power amplifiers. The ILA principle works in black box modeling relying on the inversion of input and output signals of the nonlinear system, such that the inverse is estimated. This paper presents the impact of disturbances, such as noise in the DPD identification. Experiments were performed with a state-of-art Doherty power amplifier intended for base station operation in current telecommunication wireless networks. As expected, a degradation in the performance of the DPD (measured innormalized mean square error (NMSE)) is found in our experiments. However, adjacent channel power ratio (ACPR) can be a misleading figure of merit showing improvement in the performance for wrongly estimated DPD functions.
Ort, förlag, år, upplaga, sidor
IEEE conference proceedings, 2012
Nyckelord
Digital Predistortion, Noise Impact, Indirect learning architecture
Nationell ämneskategori
Signalbehandling Telekommunikation
Identifikatorer
urn:nbn:se:hig:diva-13508 (URN)10.1109/Swe-CTW.2012.6376285 (DOI)2-s2.0-84871878986 (Scopus ID)978-1-4673-4763-1 (ISBN)
Konferens
2012 Swedish Communication Technologies Workshop (Swe-CTW)
2013-01-242012-12-072022-09-19Bibliografiskt granskad