Name
Abstract | ||
|---|---|---|
This paper introduces a new linearization technique based on signal-component cancellation to remove the third-order lumped nonlinearities from the entire receiver chain using a nonlinear auxiliary path. The paper shows that the solution performance improves when the auxiliary path becomes more nonlinear, a rather counter-intuitive property of the proposed technique with several practical implications. The signal-component cancellation uses two coefficients that are found adaptively with a novel two-step LMS algorithm in the digital domain. In contrast with previous prominent approaches based on an auxiliary path, the proposed linearization has two significant advantages: 1) it does not estimate the signal nonlinearities used in other techniques for cancellation, and 2) upon convergence of the adaptive algorithm, the digital solution is input-signal independent and therefore is static in steady-state. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MWSCAS.2019.8885260 | Midwest Symposium on Circuits and Systems Conference Proceedings |
Keywords | Field | DocType |
Intermodulation,IIP2,IIP3,Linearization,Harmonic Cancellation,RF Front-end,Adaptive Linearization,Blocker-Tolerant Receiver | Convergence (routing),Least mean squares filter,Baseband,Nonlinear system,Control theory,Computer science,Radio frequency,Adaptive algorithm,Linearization | Conference |
ISSN | Citations | PageRank |
1548-3746 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julian Camilo Gomez Diaz | 1 | 0 | 0.68 |
| Amir Tofighi Zavareh | 2 | 2 | 2.04 |
| Lester Boampong | 3 | 0 | 0.34 |
| Sebastian Hoyos | 4 | 234 | 29.24 |