GaAs/AlGaAs Reflection-Type Optical Switch Using Heterojunction Bipolar Transistor Waveguide Structure

  • Y. Okada
  • K. Tada
Conference paper
Part of the Springer Series in Electronics and Photonics book series (SSEP, volume 29)


Theoretical analysis of the optical switching characteristics expected for a GaAs/AlGaAs carrier-injected reflection-type optical switch employing a double-heterojunction bipolar transistor waveguide structure is presented on the basis of the experimentally determined results. It has been shown that an extinction ratio of better than 12 dB could be obtained at the input base current of as small as 1.5 mA for a X-crossing optical switch with an intersecting angle of 4°.


Optical Switch Extinction Ratio Waveguide Structure Base Current Beam Propagation Method 
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  1. [1]
    K. Tada and Y. Okada, IEEE Electron Dev. Lett., EDL-7, 605 (1986)CrossRefGoogle Scholar
  2. [2]
    Y. Okada, R-H. Yan, L. A. Coldren, J. L. Merz, and K. Tada, IEEE J. Quantum Electron., 25, 713 (1989)ADSCrossRefGoogle Scholar
  3. [3]
    Y. Okada, T. Ishikawa, and K. Tada, Appl. Phys. Lett., 55, 2591 (1989)ADSCrossRefGoogle Scholar
  4. [4]
    O. Mikami and H. Nakagome, Electron. Lett., 20, 228 (1984)ADSCrossRefGoogle Scholar
  5. [5]
    K. Ishida, H. Nakamura, H. Matsumura, T. Kadoi, and H. Inoue, Appl. Phys. Lett., 50, 141 (1987)ADSCrossRefGoogle Scholar
  6. [6]
    T. Kikugawa, K. G. Ravikumar, K. Shimomura, A. Izumi, K. Matsubara, Y. Miyamoto, S. Arai, and Y. Suematsu, IEEE Photonics Tech. Lett., 1, 126 (1989)ADSCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Y. Okada
    • 1
  • K. Tada
    • 1
  1. 1.Department of Electronic EngineeringUniversity of TokyoBunkyo-ku, TokyoJapan

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