Title
An Ultrasound ASIC With Universal Energy Recycling for >7-m All-Weather Metamorphic Robotic Vision
Abstract
An ultrasound ASIC that enables compact, 3-D nonvisual robotic navigation for >7-m is presented. The proposed ultrasound ASIC mitigates the limitations of camera vision navigation systems in all-weather, low-power, low-cost aspects. The ASIC integrates TX and RX paths for 64 channels, enabling four-directional navigation using 4 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 4 ultrasound arrays. The proposed universal energy recycling transmitter (UERTX) driver circuit, which can drive both single-ended and differential transducers, reduces energy consumption by 44% compared with non-overlap switching-assisted conventional class-D ultrasonic drivers, addressing large TX power consumption. In addition, the on- chip programmable power management unit (PMU) eliminates off-chip supplies and reduces off-chip passive components for compact system miniaturization. Furthermore, PMU enables the tuning of TX driving amplitude for the range of 6–14 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{V}_{\mathrm {pp}}$ </tex-math></inline-formula> allowing wide detection range adaptability. Fabricated in 0.18 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> 1P6M standard CMOS, the ASIC system measures 25 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and has >7-m obstacle detection capability while consuming 4.3 mW/channel. The proposed ultrasound ASIC system is demonstrated with a four fps, 3-D navigating metamorphic robot, which consumes 0.28 W, occupies 125 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> , and weighs ≤100 g.
Year
DOI
Venue
2022
10.1109/JSSC.2022.3182102
IEEE Journal of Solid-State Circuits
Keywords
DocType
Volume
All-weather,energy recycling,low-power,machine vision,real-time,small form factor,ultrasound
Journal
57
Issue
ISSN
Citations 
10
0018-9200
1
PageRank 
References 
Authors
0.35
12
7
Name
Order
Citations
PageRank
Han Wu110.69
Miaolin Zhang263.15
Zhichun Shao310.35
Jiaqi Guo410.69
Kian Ann Ng510.35
Liwei Lin612228.76
Jerald Yoo710.69