Experimental Study of a Hybrid Small-Signal Parameter Modeling and Extraction Method for a Microoptoelectronic Device

Jae Ho Han, Sung Woong Park

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    In the device performance variation and control for microdevices, accurate models are critical for predicting dc behaviors as well as high-frequency behaviors. Thus, acquiring the characteristics of an optoelectronic device is essential for estimating its application to high-throughput control systems. In particular, we present an experimental and analytical investigation for extracting the parameters and intrinsic properties of an optoelectronic microdevice. Our study utilizes a near-infrared, InGaAsP buried heterostructure, multiquantum well distributed-feedback laser. We utilize a modified frequency response model and the conventional method of subtracting frequency responses in two different bias currents above the laser threshold current to attain the resonance frequency and damping factor using a simple four-parameter curve-fitting procedure. With this method, we were able to acquire the intrinsic properties of the laser and its frequency response. In addition, the series resistance, which is drawn directly from a modified current-voltage (I-V) curve, can explicitly reflect the operation of the laser below and above the threshold current. The parasitic capacitance was found by comparing the measured and extracted intrinsic frequency responses. Our extracted results agree well with previously published results.

    Original languageEnglish
    Article number6998090
    Pages (from-to)3285-3290
    Number of pages6
    JournalIEEE/ASME Transactions on Mechatronics
    Volume20
    Issue number6
    DOIs
    Publication statusPublished - 2015 Dec

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    Keywords

    • Control systems
    • frequency response
    • optoelectronic devices
    • parameter estimation

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science Applications
    • Electrical and Electronic Engineering

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