Name
Abstract | ||
|---|---|---|
The generalized memory polynomial (GMP) model is one of the most commonly used models in digital predistortion to compensate for the nonlinearities and memory effects of power amplifiers (PAs). A very difficult, yet crucial, aspect of behavioral modeling is model dimensioning, i.e., determining nonlinear orders and memory depths. In this paper, we propose an algorithm based on hill-climbing (HC) h... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVT.2018.2833283 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Mathematical model,Complexity theory,Predistortion,Integrated circuit modeling,Computational modeling,Optimization | Convergence (routing),Heuristic,Brute-force search,Test bench,Computer science,Behavioral modeling,Algorithm,Dimensioning,Linearization,Predistortion | Journal |
Volume | Issue | ISSN |
67 | 8 | 0018-9545 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siqi Wang | 1 | 1 | 0.37 |
| Mazen Abi-Hussein | 2 | 15 | 2.39 |
| Olivier Venard | 3 | 4 | 1.48 |
| Geneviève Baudoin | 4 | 138 | 19.08 |