BatDrone: A 9.83M-focal-points/s 7.76µs-Latency Ultrasound Imaging System with On-Chip Per-Voxel RX Beamfocusing for 7m-Range Drone Applications

Wu, Liuhao; Guo, Jiaqi; Jiang, Rucheng; Peng, Yande; Wu, Han; Li, Jiamin; Dong, Youming; Zhang, Miaolin; Li, Zhuoyue; Ng, Kian Ann; Tsai, Chne-Wuen; Lin, Longyang; Lin, Lung–Huang; Yoo, Jerald

doi:10.1109/isscc42614.2022.9731798

Cited by 1 publication

(1 citation statement)

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“…This article presents a new ultrafast real-time air-channel UIS application-specific integrated circuit (ASIC) [20] that integrates on-chip image reconstruction digital back-end (DBE), coupled with a one-shot TX and receiver (RX) beamfocusing scheme to achieve lower power consumption (142.3 mW) than those of CIS and LiDAR systems and higher framerate (24 frames/s) than those of previous UIS, suitable for the UAV applications. Integrating a 64-channel 2-D phased transducer array, the ASIC processes 24 frames/s 9.83M-FocalPoints/s 3-D volumetric images at 7.76-μs processing latency.…”

Section: Introductionmentioning

confidence: 99%

An Ultrasound Imaging System With On-Chip Per-Voxel RX Beamfocusing for Real-Time Drone Applications

Guo

Jiang

et al. 2022

IEEE J. Solid-State Circuits

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For drone vision and navigation, low-power 1 3-D depth sensing with robust operations against strong/weak 2 light and various weather conditions is crucial. CMOS image 3 sensor (CIS) and light detection and ranging (LiDAR) can 4 provide high-fidelity imaging. However, CIS lacks depth 5 sensing and has difficulty in low light conditions. LiDAR is 6 expensive with issues of dealing with strong direct interference 7 sources. Ultrasound imaging system (UIS), on the other hand, 8 is robust in various weather and light conditions and is 9 cost-effective. However, in air channel, it often suffers from long 10 image reconstruction latency and low framerate. To address 11 these issues, we present a UIS application-specific integrated 12 circuit (ASIC) that adopts the one-shot transmitter (TX) and 13 on-chip per-voxel receiver (RX) beamfocusing (PV-RXBF) 14 image reconstruction scheme. The ASIC adopts the designs of 15 fully differential charge-reuse high-voltage TX (FDCR-HVTX), 16 digital back-end (DBE), and an on-chip power management unit 17 (PMU). FDCR-HVTX generates 28 V pp pulses and reduces the 18 average power consumption by 25% by charge reuse (CR). The 19 DBE achieves 7.76-µs processing latency and 9.83M-FocalPoint/s 20 throughput to effectively translate real-time 3-D image streaming 21 at 24 frames/s. A prototype UIS, with an 8 × 8 bulk piezo 22 transducer array, is assembled with the proposed ASIC and 23 a wireless data transmission module [field-programmable gate 24 array (FPGA) + ESP32] on an entry-level consumer drone, 25 and the real-time wireless 3-D image streaming at 24 frames/s 26 with a range of 7 m is verified while the drone is flying.

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Section: Introductionmentioning

confidence: 99%