Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Optimization of RF low noise amplifier design using analytical model and genetic computation

Papadimitriou Aggelos, Bucher Matthias

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/06D33000-D4CA-4690-8327-4D6D9511AD89-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/8005220/-
Αναγνωριστικόhttps://doi.org/10.23919/MIXDES.2017.8005220-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςOptimization of RF low noise amplifier design using analytical model and genetic computationen
ΔημιουργόςPapadimitriou Aggelosen
ΔημιουργόςΠαπαδημητριου Αγγελοςel
ΔημιουργόςBucher Matthiasen
ΔημιουργόςBucher Matthiasel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηThis paper introduces a methodology for optimum low noise amplifier (LNA) design, using a combination of analytical model and genetic algorithms. The optimum operation is defined by a figure of merit (FoM) that considers both the power efficiency and the RF performance of the device. This FoM suggests that the optimum region of operation lies in the moderate inversion. This knowledge can be used as a strong starting point for the design and optimization procedures. Initially, the LNA component values are determined using the analytical model. The analytical procedure does not account for all parasitics of the active and in particular the passive components, leading to a sub-optimal design. Therefore, the final LNA design is generated using full circuit simulation, where a genetic algorithm takes the analytical design as a starting point, aiming at faster convergence. To demonstrate the effectiveness of the methodology a 5 GHz common source LNA with inductive degeneration has been designed using a mixed signal/RF 90nm CMOS process. en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-04-18-
Ημερομηνία Δημοσίευσης2017-
Θεματική ΚατηγορίαCMOSen
Θεματική ΚατηγορίαDesign optimizationen
Θεματική ΚατηγορίαGenetic algorithmen
Θεματική ΚατηγορίαLow noise amplifieren
Θεματική ΚατηγορίαModerate inversionen
Θεματική ΚατηγορίαRadio frequencyen
Βιβλιογραφική Αναφορά A. Papadimitriou and M. Bucher, "Optimization of RF low noise amplifier design using analytical model and genetic computation," in 24th International Conference on Mixed Design of Integrated Circuits and Systems, 2017, pp. 302-307. doi: 10.23919/MIXDES.2017.8005220en

Υπηρεσίες

Στατιστικά