Hyeon-Min Bae
KAIST
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Hyeon-Min Bae.
IEEE Journal of Solid-state Circuits | 2006
Hyeon-Min Bae; Jonathan B. Ashbrook; Jinki Park; Naresh R. Shanbhag; Andrew C. Singer; Sanjiv Chopra
A maximum-likelihood sequence estimation (MLSE) receiver is fabricated to combat dispersion/intersymbol interference (chromatic and polarization mode), noise (optical and electrical), and nonlinearities (e.g., fiber, receiver photodiode, or laser) in OC-192 metro and long-haul links. The MLSE receiver includes a variable gain amplifier with 40-dB gain range and 7.5-GHz 3-dB bandwidth, a 12.5-Gb/s 4-bit analog-to-digital converter, a dispersion-tolerant phase-locked loop, a 1:8 demultiplexer, and a digital equalizer implementing the MLSE algorithm. The MLSE receiver achieves more than 50% reach extension at signal-to-noise levels of interest as compared to conventional clock data recovery systems
IEEE Signal Processing Magazine | 2008
Andrew C. Singer; Naresh R. Shanbhag; Hyeon-Min Bae
This article provides an overview of some of the driving factors that limit the performance of optical links and highlight some of the potential opportunities for the signal processing community to make substantial contributions.
international solid-state circuits conference | 2006
Hyeon-Min Bae; Jonathan B. Ashbrook; Jinki Park; Naresh R. Shanbhag; Andrew C. Singer; Sanjiv Chopra
A 9.953 to 12.5Gb/s MLSE receiver consisting of an AFE IC in a 0.18mum 3.3V ft=75GHz, and a digital IC in a 0.13pm 1.2V CMOS is presented. The AFE IC features a 7.5GHz 40dB VGA, a 4b 12.5GS/S ADC, a dispersion-tolerant clock-recovery unit, and a 1:8 DEMUX. The digital IC implements an 8-parallel, delayed recursion MLSE architecture and a nonlinear channel estimator. The 4.5W receiver meets the SONET jitter specifications with 2200ps/nm of dispersion at BER=104
IEEE Transactions on Circuits and Systems Ii-express Briefs | 2012
Jinho Han; Jaehyeok Yang; Hyeon-Min Bae
This brief presents a theoretical analysis of the stochastic reference clock generator (SRCG), which creates a clock like periodic signal from a random nonreturn-to-zero data sequence. The output of the SRCG can be utilized as a reference clock for frequency acquisition in dual-loop clock-and-data recovery circuits. A frequency-locked loop (FLL) subsequent to the SRCG guides the voltage-controlled oscillator frequency into the pull-in range of the phase-locked loop while suppressing the high-frequency phase noise of the SRCG. The phase noise and frequency offset of the SRCG-FLL pair are analyzed. The validity of the theoretical analysis is supported by results taken from a test chip.
IEEE Journal of Solid-state Circuits | 2015
Hyosup Won; Taehun Yoon; Jinho Han; Joon-Yeong Lee; Jong-Hyeok Yoon; Taeho Kim; Jeong-Sup Lee; Sangeun Lee; Kwangseok Han; Jinhee Lee; Jinho Park; Hyeon-Min Bae
This paper describes a low-power 100 Gigabit Ethernet transceiver IC compliant with IEEE802.3ba 100GBASE-LR4 in 40 nm CMOS. The proposed bidirectional full-duplex transceiver IC contains a total of eight 28 Gb/s CDRs. Each CDR lane incorporates phase-rotator-based delay- and phase-locked loop (D/PLL) architecture for enhanced jitter filtering. All the CDR lanes operate independently while sharing a single voltage-controlled oscillator and supporting referenceless clock acquisition. To reduce power consumption, a multidrop clock distribution scheme with single on-chip transmission-line (T-line) and quadrate RX and TX schemes without CML logic gates are incorporated. Embedded built-in self-test modules featuring a random accumulation jitter generator enables bit error rate (BER) and jitter tolerance self tests without any external equipment. The TX featuring a three-tap pre-emphasis provides a variable output swing ranging from 478 mVppd to 1.06 Vppd. RX equalizers employing a continuous-time linear equalizer and a one-tap decision feedback equalizer compensate for the channel loss up to 25 dB at the Nyquist rate. The measured RX input sensitivity for a BER of 10 -12 is 42 mVppd. The proposed IC consumes only 0.87 W at 28.0 Gb/s with a BER less than 10 -15 on PRBS31 testing. The power efficiency of the proposed transceiver is 3.9 mW/Gb/s, which is the best among the efficiencies achieved by recently published 25 Gb/s transceivers.
IEEE Transactions on Circuits and Systems | 2012
Joon-Yeong Lee; Hyeon-Min Bae
This paper presents the minimum bound of the mean-squared phase-error of a bang-bang (BB) clock-and-data recovery (CDR) circuit under the condition of random phase tracking. An analogy between the Kalman filter and a linearized BB CDR is utilized for the derivation. The effects of demultiplexing, loop latency, and granular jitter are considered in the analysis to reflect reality. The validity of the theoretical analysis is supported by behavioral time domain simulation results.
IEEE Transactions on Biomedical Circuits and Systems | 2013
Jong-Kwan Choi; Min-Gyu Choi; Jae-Myoung Kim; Hyeon-Min Bae
An hardware-efficient method for the extraction of hemodynamic responses in near-infrared spectroscopy systems is proposed to increase the spatial and temporal resolution. The performance improvement is attributed to high signal-to-noise ratio receivers, a modulation scheme, and a multi-input-multi-output based data extraction algorithm. The proposed system shows more than twofold improvement in the figure of merit compared to conventional designs. Experimental results support the validity of the proposed system.
international symposium on circuits and systems | 2012
Jong Kwan Choi; Min Gyu Choi; Hyeon-Min Bae
An efficient method for the extraction of hemodynamic response in near-infrared spectroscopy (NIRS) systems is proposed to increase the spatial and temporal resolution without hardware overhead. The performance improvement is attributed to high-signal-to-noise-ratio (SNR) receivers, a modulation scheme, and a multi input multi output (MIMO) based data extraction algorithm. The proposed systems shows a 72% increment in the figure of merit (FOM) compared to conventional designs. Experimental results support the validity of the proposed system.
international solid-state circuits conference | 2015
Jong-Kwan Choi; Jae-Myoung Kim; Gunpil Hwang; Jaehyeok Yang; Min-Gyu Choi; Hyeon-Min Bae
A custom transceiver IC is designed to implement a portable brain imaging system based on functional near-infrared spectroscopy (fNIRS). The fNIRS IC generates multichannel time-divided spread-spectrum codes (TDSSCs) and drives light-emitting devices in the transmitter (Tx) chain, and performs optimum filtering, quantization, and serialization in the receiver (Rx) chain. A dual slope ADC subsequent to an operational transconductance amplifier-C-based matched filter shares a capacitor to save area while achieving optimum signal-to-noise ratio (SNR) in the brain channel. The Rx chain including an off-chip TIA ensures sufficient electrical SNR irrespective of the brain region for the accurate extraction of hemodynamic response. The minimum detectable light power of the Rx chain is 400 fW. The output power of the Tx is made adjustable by controlling the occurrence rate and the power of the TDSSC to reduce subject-dependent measurement variations. The proposed fNIRS system measures 42 brain regions simultaneously, and the experimental results clearly verify the validity of the proposed portable fNIRS system.
IEEE Transactions on Circuits and Systems | 2014
Joon Yeong Lee; Jong-Hyeok Yoon; Hyeon-Min Bae
This paper describes a 10-Gb/s clock-and-data recovery (CDR) with a background optimum loop-bandwidth calibrator. The proposed CDR automatically achieves the minimum-mean-square error between jittery input data and the recovered clock signal by adjusting the bandwidth of a CDR using Kalman filtering theory. A testchip is fabricated in a 0.11 μm CMOS process and the adaptive optimum loop-bandwidth calibrator is implemented via an off-chip micro controller unit. The testchip recovers clock and data with a bit error rate of less than 10-13 while consuming 82 mW at 10-Gb/s.