2026-09-19T18:36:13Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81296 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

George C. Papen Murphy, George Matthew 2015-09-25T20:10:25Z 2015-09-25T20:10:25Z 10000-01-01 1999 1999 This thesis describes two methods of bit error rate (BER) estimation based on statistical techniques. The first method examines the correlation between the BER and electrical characteristics of an optical receiver circuit. Low correlation is found between the receiver performance and the electrical characteristics. This may be caused by a high variability in the quality of the optical portion of the receiver as compared to the electrical portion. In the second method of BER estimation, a preselected analytic function was fit to samples of a signal and this function was used to calculate the probability of error of this signal. The analytic function modeled noise contributions from thermal and modal noise sources. Modal noise, caused by the interference of fiber modes at a surface, is modeled by a gamma distribution when a large number of modes are excited in the fiber. However, if a small number of modes are excited, the gamma distribution does not describe the observed noise distribution. A numerical model is presented which describes the noise distribution in this restricted mode-launch case. This represents the first time noise measurements of restricted mode-launch fiber optic links have been presented. Made available in DSpace on 2015-09-25T20:10:25Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9944944.pdf: 3963643 bytes, checksum: 0ee19b920a8238a12b09032a4b56f512 (MD5) Previous issue date: 1999 Embargo set by: Seth Robbins for item 82577 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 103 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999. http://hdl.handle.net/2142/81296 (MiAaPQ)AAI9944944 eng Statistics Statistical Methods of Bit Error Rate Estimation in Optical Communication Systems text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.