2026-09-24T23:53:48Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/93332022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Hermann A. Haus and Erich P. Ippen.
Wong, William Shung-Kei
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-08-22T20:23:47Z
2005-08-22T20:23:47Z
1999
1999
http://hdl.handle.net/1721.1/9333
44262814
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
Includes bibliographical references (leaves 100-106).
In the first half of my thesis, I will present experimentally measured photon statistics of RZ/NRZ signals in an optically pre-amplified direct-detection receiver, and show that the results are in good agreement with quantum photodetection theory. Specifically, the ZEROs are described by a degenerate Bose-Einstein distribution, while the ONEs are described by a non-central-negative-binomial distribution. We will compare the exact quantum mechanical approach with the semiclassical Gaussian approximation in terms of evaluating the bit-error rate and the optimal decision threshold. I will then describe a nonlinear pulse filter that transmits incident pulses while rejecting cw background as well as ASE noise. The filter is realized by constructing a nonlinear optical Sagnac loop that is imbalanced by asymmetric dispersion. In the first demonstration at 30 Mb/s, a relative extinction of 22 dB (with respect to the pulse) is measured for the cw background. We also demonstrate cleanup of in-band ASE noise at 10 Gb/s. Other researchers have adopted my techniques and buHt similar pulse filters to clean up compressed pulses so as to build a pedestal-free, 5-ps 16-wavelength WDM source at 10 Gb/s and a 210-fs single-channel TDM source at 640 Gb/s.
by William S. Wong.
Ph.D.
106 leaves
5543609 bytes
5543370 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Characterization and nonlinear cleanup of noise in optical communication systems
Thesis
application/pdf
Publication
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unknown
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