Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2017 IEEE Nordic Circuits and Systems Conference, NORCAS 2017 |
| Untertitel | NORCHIP and International Symposium of System-on-Chip, SoC 2017, Proceedings |
| Herausgeber/-innen | Jari Nurmi, Ivan Ring Nielsen, Atila Alvandpour, Mark Vesterbacka, J. Jacob Wikner, Martin Nielsen-Lonn |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781538628447 |
| Publikationsstatus | Veröffentlicht - 29 Nov. 2017 |
| Veranstaltung | 2017 IEEE Nordic Circuits and Systems Conference, NORCAS 2017: NORCHIP and International Symposium of System-on-Chip, SoC 2017 - Linkoping, Schweden Dauer: 24 Okt. 2017 → 25 Okt. 2017 |
Abstract
An RF mixer is one of the key elements in wireless telecommunication systems, which is used for example for modulation and demodulation. Due to the fact, that such a functionality can only be achieved by a nonlinear system, it is crucial that the nonlinearity is taken into account for the analysis and design of RF mixers. For this reason, the analysis and design process is still a challenging task because linear models can only be used restrictively. Therefore, an iterative design process is performed to achieve the desired specifications, whereby a circuit simulation tool as Cadence Spectre is utilized for verification. This approach is very time consuming as a vast of numerical simulations have to be performed for each set of network parameters. In this contribution, another approach is presented based on a self-consistent Carleman linearization. This approach is used to obtain an approximate analytic solution in dependency of the network parameters.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Informatik (insg.)
- Hardware und Architektur
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2017 IEEE Nordic Circuits and Systems Conference, NORCAS 2017: NORCHIP and International Symposium of System-on-Chip, SoC 2017, Proceedings. Hrsg. / Jari Nurmi; Ivan Ring Nielsen; Atila Alvandpour; Mark Vesterbacka; J. Jacob Wikner; Martin Nielsen-Lonn. Institute of Electrical and Electronics Engineers Inc., 2017.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A self-consistent Carleman linearization approach for the design of RF mixer circuits
AU - Weber, Harry
AU - Koroa, Gerald Alexander
AU - Mathis, Wolfgang
AU - Delchev, Dimitar
AU - Marinova, Galia
N1 - Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/11/29
Y1 - 2017/11/29
N2 - An RF mixer is one of the key elements in wireless telecommunication systems, which is used for example for modulation and demodulation. Due to the fact, that such a functionality can only be achieved by a nonlinear system, it is crucial that the nonlinearity is taken into account for the analysis and design of RF mixers. For this reason, the analysis and design process is still a challenging task because linear models can only be used restrictively. Therefore, an iterative design process is performed to achieve the desired specifications, whereby a circuit simulation tool as Cadence Spectre is utilized for verification. This approach is very time consuming as a vast of numerical simulations have to be performed for each set of network parameters. In this contribution, another approach is presented based on a self-consistent Carleman linearization. This approach is used to obtain an approximate analytic solution in dependency of the network parameters.
AB - An RF mixer is one of the key elements in wireless telecommunication systems, which is used for example for modulation and demodulation. Due to the fact, that such a functionality can only be achieved by a nonlinear system, it is crucial that the nonlinearity is taken into account for the analysis and design of RF mixers. For this reason, the analysis and design process is still a challenging task because linear models can only be used restrictively. Therefore, an iterative design process is performed to achieve the desired specifications, whereby a circuit simulation tool as Cadence Spectre is utilized for verification. This approach is very time consuming as a vast of numerical simulations have to be performed for each set of network parameters. In this contribution, another approach is presented based on a self-consistent Carleman linearization. This approach is used to obtain an approximate analytic solution in dependency of the network parameters.
UR - http://www.scopus.com/inward/record.url?scp=85045754453&partnerID=8YFLogxK
U2 - 10.1109/NORCHIP.2017.8124950
DO - 10.1109/NORCHIP.2017.8124950
M3 - Conference contribution
AN - SCOPUS:85045754453
BT - 2017 IEEE Nordic Circuits and Systems Conference, NORCAS 2017
A2 - Nurmi, Jari
A2 - Nielsen, Ivan Ring
A2 - Alvandpour, Atila
A2 - Vesterbacka, Mark
A2 - Wikner, J. Jacob
A2 - Nielsen-Lonn, Martin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Nordic Circuits and Systems Conference, NORCAS 2017: NORCHIP and International Symposium of System-on-Chip, SoC 2017
Y2 - 24 October 2017 through 25 October 2017
ER -