Zhang, Z., Goh, W. L., & Gao, Y. (2024). A Nanowatt Area-Efficient 16-Channel Bandpass Filterbank with Floating Active Capacitance Multiplier for Acoustic Signal Processing. 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1–5. https://doi.org/10.1109/iscas58744.2024.10557888
Abstract:
This paper introduces an area-efficient nanowatt 16-channel bandpass filterbank tailored for acoustic signal processing in Artificial Internet of Things (AIoT) sensor systems. Integration of a floating active capacitance multiplier (FACM) adeptly addresses the inherent challenge of increased area in source-follower-based filters due to their larger capacitance. Compared to conventional gm-C circuits, this work offers reduced power consumption, a more straightforward structure, and tunability. In a standard 0.13-μm CMOS process, simulations reveal the filterbank's frequency range spans from 90 Hz to 5 kHz with a gain of 17dB, and a total power consumption of 97nW for the 16 channels. When benchmarked against contemporary BPFs, this work achieves an unparalleled area efficiency of 0.038mm^2/channel and superior linearity. Such a compact and energy-efficient design offers a competitive solution for analog feature extraction in edge AI applications.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research (A*STAR), Singapore - Nanosystems at the Edge Programme
Grant Reference no. : A18A1b0055