2001 IEEE MTT-S International Microwave Sympsoium Digest (Cat. No.01CH37157)
DOI: 10.1109/mwsym.2001.967057
|View full text |Cite
|
Sign up to set email alerts
|

An improved behavioral modeling technique for high power amplifiers with memory

Abstract: International audienceAn improved behavioral modeling technique for high power amplifiers with memor

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 34 publications
(11 citation statements)
references
References 7 publications
0
11
0
Order By: Relevance
“…These memories are mixed together in the PA (nonlinear coupled), and the problem of estimating behavioral models becomes very difficult [15].…”
Section: Estimating Memory Effects With Sub-band Structuresmentioning
confidence: 99%
“…These memories are mixed together in the PA (nonlinear coupled), and the problem of estimating behavioral models becomes very difficult [15].…”
Section: Estimating Memory Effects With Sub-band Structuresmentioning
confidence: 99%
“…In addition, SSPA behavioral models based on direct Volterra series expansion and digital filter representation adopted in [4], [5] , and [6] often lead to complex model architecture and optimization procedure. Combination of first order modified Volterraseries expansions reported in [7], [8] enable a relatively straightforward extraction methodology with a good prediction of memory effects (short and long term).…”
Section: Introductionmentioning
confidence: 99%
“…To accurately model a PA, we have to take into account both nonlinearities and memory effects. Several works have recently been published proposing behavioral models and extraction procedures for envelope behavioral model simulation [1][2][3][4]. The Volterra series has been used by several researchers to describe the relationship between the input and the output of a power amplifier with memory effects [1].…”
Section: Introductionmentioning
confidence: 99%