Distance measurement

  • No Comments

A 138 Gb/s D-Band 2-D Scalable Transceiver Array With On-Chip Antennas Achieving Sub-1-pJ/b Efficiency in 28-nm Bulk CMOS

A 138 Gb/s D-Band 2-D Scalable Transceiver Array With On-Chip Antennas Achieving Sub-1-pJ/b Efficiency in 28-nm Bulk CMOS 150 150
Author(s): Hesham Beshary, Yikuan Chen, Ali M. Niknejad

Abstract:

This article presents a D-band 2-D scalable phased array that integrates a $2{\,}\times{\,} 2$ transceiving (TRX) radio frequency (RF) beamformer with on-chip antennas (OCAs) and a $\times 16$ local-oscillator (LO) multiplication chain. The 2-D array scalability is demonstrated by tiling $2{\,}\times{\,} 2$ chips into an array using a low-cost package to build a 16…

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3704818
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A Cryogenic Superconducting Quantum Computing Unit Interface Chipset With Phase-Detection-Based Readout and Phase-Shifter-Based Controller

A Cryogenic Superconducting Quantum Computing Unit Interface Chipset With Phase-Detection-Based Readout and Phase-Shifter-Based Controller 150 150
Author(s): Yanshu Guo, Yaoyu Li, Wenqiang Huang, Tian Tian, Nan Wu, Siqi Zhang, Qichun Liu, Tiefu Li, Zhihua Wang, Ning Deng, Yuanjin Zheng, Hanjun Jiang

Abstract:

This article presents a cryogenic quantum interface chipset at 3.5 K for superconducting transmon qubit operations. The chipset comprises a phase-detection readout and a phase-shifter-based polar-modulation controller with flexible scalability. With the proposed phase-detection readout scheme, a 9-bit time-to-digital converter (TDC)-based state detector is used to read out the qubit …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 18
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3695612
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A 15-MHz, 2.7-mm2 Notch-Free Hybrid Magnetic Current Sensor With Feedforward Ripple Cancellation and ±0.8% Local Gain Non-Uniformity

A 15-MHz, 2.7-mm2 Notch-Free Hybrid Magnetic Current Sensor With Feedforward Ripple Cancellation and ±0.8% Local Gain Non-Uniformity 150 150
Author(s): Feng Cheng, Jianlin Xia, Encheng Zhu, Long Zhang, Zhongyuan Fang, Xiaofeng Sun, Dejin Wang, Shaoping Li, Jing Zhu, Yongjia Li, Weifeng Sun

Abstract:

This article proposes a hybrid magnetic current sensor achieving a 15-MHz bandwidth within a compact 2.7-mm2 area. To mitigate the pole–zero mismatch inherent in the two-stage integrator topology, a dual-output Gm-C integrator with subtractor-based compensation is proposed, achieving a ±0.8% local gain non-uniformity. A wideband feedforward ripple suppression scheme cancels …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3692476
Publisher: IEEE

View on IEEE Xplore

  • No Comments

QVGA CMOS LiDAR Sensor With nMOS-Only SPAD Analog Front-End and Area-Efficient Priority Histogramming TDC

QVGA CMOS LiDAR Sensor With nMOS-Only SPAD Analog Front-End and Area-Efficient Priority Histogramming TDC 150 150
Author(s): Minkyung Kim, Hyeongseok Seo, Songhyeon Kim, Jung-Hoon Chun, Seong-Jin Kim, Jaehyuk Choi

Abstract:

This article presents a high-resolution (HR) CMOS light detection and ranging (LiDAR) sensor capable of generating quarter video graphics array (QVGA) ( $320~{\times }~240$ ) depth images. To support high pixel density, the sensor employs a compact 6-transistor (6-T) nMOS-only single-photon avalanche diode (SPAD) analog front-end (AFE) with a column-shared active recharge circuit. …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3687569
Publisher: IEEE

View on IEEE Xplore

  • No Comments

A 65-nm CMOS Machine-Learning-Enhanced Bandwidth-Efficient LiDAR

A 65-nm CMOS Machine-Learning-Enhanced Bandwidth-Efficient LiDAR 150 150
Author(s): Pooya Poolad, Foad Arvani, Bahaa Radi, Ping-Hsuan Hsieh, Tony Chan Carusone

Abstract:

We present a proof-of-concept light detection and ranging (LiDAR) signal processing architecture that integrates a machine-learning-enhanced processing unit (PU) with on-chip time-to-digital converters (TDCs) to reduce bandwidth and memory requirements in SPAD-based direct time-of-flight (dToF) systems. The proposed architecture fits a Gaussian mixture model (GMM) to photon arrival time distributions …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 11
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3652972
Publisher: IEEE

View on IEEE Xplore

Search this website