Conference proceeding
Block Configuration Algorithms for a Reconfigurable Analog Array
2024 IEEE International Symposium on Circuits and Systems (ISCAS), pp 1-5
19 May 2024
Abstract
In this paper, novel block configuration algorithms are developed for a field-programmable analog array (FPAA). The proposed architecture and algorithms not only support system-level reconfiguration but also allow for transistor-level programmability. Programmable capacitors, resistors, and transistor pairs are utilized to facilitate both continuous-time and discrete-time signal processing. A placement algorithm is proposed to efficiently map an analog circuit onto the FPAA fabric by determining the optimal vertical and horizontal locations for the assignment of transistors. The FPAA contains a 3x4 configurable analog block (CAB) array, with a configurable logic block (CLB) added to each column for digital circuit programmability. The proposed FPAA occupies an area of 4 mm 2 in a 65 nm process. The circuits implemented on the FPAA fabric include a folded-cascode amplifier, a switch-capacitor integrator, and a first-order delta-sigma modulator. The reconfigured folded-cascode amplifier exhibits a gain of 32 dB with a 3-dB bandwidth of 30 MHz, while the implemented integrator and delta-sigma modulator operate at a frequency of 15 MHz.
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Details
- Title
- Block Configuration Algorithms for a Reconfigurable Analog Array
- Creators
- Ziyi Chen - Drexel UniversityIoannis Savidis - Drexel University
- Publication Details
- 2024 IEEE International Symposium on Circuits and Systems (ISCAS), pp 1-5
- Publisher
- IEEE; NEW YORK
- Number of pages
- 5
- Grant note
- Office of Naval Research (10.13039/100000006) National Science Foundation (10.13039/100000001)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:001268541101120
- Scopus ID
- 2-s2.0-85198539966
- Other Identifier
- 991021893702304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Electrical & Electronic