Creating innovative bio-convergent technologies for better human life

제목: Mixed-signal Processing Systems for Integrated Sensor System-on-a-Chip

연사 : Daeik D. Kim, Ph.D.

Research and Development Engineer

Duke University

일시: 2005. 5. 31 (Tue) pm. 1:15-2:30

장소: Room 219, Chung Moon Soul Building (E16)

Recently, much attention has focused on the potential of mixed-signal design in numerous forms of sensor applications. In this presentation, a bio-optoelectronic sensor System-on-a-Chip (SoC) and a capillary electrophoresis Lab-on-a-Chip (LoC) are presented to discuss opportunities and challenges of mixed-signal systems in practice.

The bio-optoelectronic sensor SoC is an integration of optical waveguides, embedded photodetector arrays, and Si CMOS interface circuits for a general purpose sensing. The sensing signal is generated through interferometric waveguides, and each sensor is optimized for a specific target agent by printing a reactive material on the test strip area. The capillary electrophoresis LoC is an attempt to build a chemical, biological, cellular, DNA analysis sensor and a micro-kinetic pump using a miniaturized electrophoresis system.

Also two promising mixed-signal data acquisition circuit designs are discussed as exemplars of highly-flexible and powerful mixed-signal processing function blocks useful for stand-alone sensor array SoC: (1) triple-band reconfigurable delta-sigma (DS) modulator, and (2) micro active pixel Analog-to-Digital Converter (ADC) with Digital Signal Processing (DSP).

First, the triple-band reconfigurable DS modulator takes advantage of switched-capacitor integrator techniques to implement a three-band, low-, band-, and high-pass, DS modulator that can be reconfigured in real-time with simple clock schemes. This multi-functional ADC can be utilized for low-frequency signal monitoring, high-sensitivity sensor data acquisition, and direct Intermediate frequency (IF) communication signal demodulation. Next, the micro active pixel ADC with DSP implements a pixel with a photodetector, a DS modulator, and DSP processor. The design flexibly performs digital downsampling of DS ADC output, and effectively reduces the off-chip readout bandwidth, while maintaining high-resolution data acquisition. The proposed active pixel ADC design can be directly adopted for high-speed imaging arrays, Single Instruction Multiple Data (SIMD) processors, systolic arrays, and neural networks. Additionally, to investigate the optimality of the modulator encoding and to propose a new decoding algorithm, nonlinear modeling and analysis of DS modulator are presented.



Dr. Kim received his B.S. degree from Seoul National University with summa cum laude in 1999, the M.S. and the Ph.D. in Electrical Engineering from the Georgia Institute of Technology in 2002 and 2004, respectively. He is currently in the Department of Electrical and Computer Engineering, Duke University as Research and Development Engineer (III). His research interest includes heterogeneous integration of sensor system-on-a-chip and mixed-signal processing circuits and systems implementation.



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