| Full text | |
| Author(s): |
de Lima Moreto, Rodrigo Alves
[1]
;
Mariano, Andre
[2]
;
Thomaz, Carlos Eduardo
[1]
;
Gimenez, Salvador Pinillos
[1]
Total Authors: 4
|
| Affiliation: | [1] FEI Univ Ctr, Dept Elect Engn, Av Humberto Alencar Castelo Branco 3972, BR-09850901 Sao Bernardo Do Campo, SP - Brazil
[2] Univ Parana, Dept Elect Engn, Curitiba, Parana - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING; v. 106, n. 1, p. 307-319, JAN 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Nowadays, wireless communications at frequencies of gigahertz have an increasing demand due to the ever-increasing number of electronic devices that uses this type of communication. However, the design of Radio Frequency (RF) circuits is difficult, time-consuming and based on designer knowledge and experience. This work proposes an interactive evolutionary approach based on genetic algorithm, implemented in the in-house iMTGSPICE optimization tool, to perform the optimization process of a Low-Power Low Noise Amplifier (LNA) dedicated to Wireless Sensor Networks (WSN), which is robust through the corner and Monte Carlo analyses and implemented in two Bulk CMOS technology nodes: 130 nm and 65 nm. Regarding each technology node, we performed two experimental studies to optimize the LNA. The first one used the conventional non-interactive approach of iMTGSPICE, which was not assisted by a designer during the optimization process. The second one used the interactive approach of iMTGSPICE, which was monitored and assisted by a beginner designer during the optimization process. The obtained results demonstrated that the interactive approach of iMTGSPICE performed the optimization process of the robust LNA from 16 to 94% faster than the non-interactive evolutionary approach. The design regarding the technology node of 130 nm took 341 min for the non-interactive and 20 min for the interactive optimization process, whereas the design in the 65 nm took 537 min for the non-interactive and 454 min for the interactive approach. (AU) | |
| FAPESP's process: | 18/21341-4 - Prototype of interactive computational intelligence for the design and optimization of analog CMOS integrated circuits |
| Grantee: | Rodrigo Alves de Lima Moreto |
| Support Opportunities: | Research Grants - Innovative Research in Small Business - PIPE |