DocumentCode
983617
Title
Design of a Power-Amplifier Feed-Forward RF Model With Physical Knowledge Considerations
Author
Cunha, Telmo R. ; Pedro, José C. ; Cabral, Pedro M.
Author_Institution
Univ. de Aveiro, Aveiro
Volume
55
Issue
12
fYear
2007
Firstpage
2747
Lastpage
2756
Abstract
In this paper, the design of a general feed-forward topology for modeling RF power amplifiers (PAs) is presented. It consists of producing the best nonlinear nonrecursive approximator of a feedback model which traduces the physical characteristics of general PAs. Following the procedure presented in this paper, the feed-forward structure, which has a polynomial form with memory (Volterra series), can be exactly determined up to the desired order of approximation. Evidently, increasing the order of the feed-forward topology results in a more complex structure, with more laborious model extraction procedures. This paper presents in detail the structures of the general nonrecursive model up to the fifth-order kernel. A systematic extraction procedure, based on standard RF laboratory continuous wave and two-tone tests, is proposed under the assumption that the PA linear output does not vary within the considered fundamental frequency band (flat behavior). Model validation is demonstrated by means of ADS simulation data and from real data measurements.
Keywords
Volterra series; approximation theory; feedforward amplifiers; polynomials; power amplifiers; radiofrequency amplifiers; RF power amplifiers design; Volterra series; feed-forward topology; fifth-order kernel; nonlinear nonrecursive approximation; polynomial form; systematic extraction procedure; Data mining; Feedback; Feedforward systems; Kernel; Laboratories; Polynomials; Power amplifiers; Radio frequency; Radiofrequency amplifiers; Topology; Feed-forward systems; Volterra series; modeling; nonlinear systems; power amplifiers (PAs);
fLanguage
English
Journal_Title
Microwave Theory and Techniques, IEEE Transactions on
Publisher
ieee
ISSN
0018-9480
Type
jour
DOI
10.1109/TMTT.2007.909873
Filename
4385540
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