Effects of Polarization-mode Dispersion on Fiber Communication Systems
Effects of Polarization-mode Dispersion on Fiber Communication Systems
批准号:
9971712
负责人:
Jianke Yang
金额:
$0.91万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-08-01 至 2002-07-31
中文摘要
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英文摘要
The objective of this project is to study the effects of polarization modedispersion on fiber communication systems. Polarization mode dispersion (PMD)is caused by random birefringence of optical fibers. As the bit rate per channelis reaching tens of gigabytes per second, PMD has become a major limiting factor on the system performance. The awardee will study the effects of PMD on both linear and soliton communication systems. In particular, he will investigate the probability distribution of the differential group delay for various birefringence models as a function of arbitrary fiber length in a linear transmission system. He also plans to examine the combined effects of PMD and weak nonlinearity on the statistics of the transmissionspectrum measured through a polarizer at the output of a test fiber. In addition, he will assess the effects of PMD on a soliton communication system.He will examine the statistics of PMD-induced timing jitter, polarizationfluctuations and dispersive radiation, and estimate limitations imposed by PMD on soliton transmission. These problems are different but inter-related. The results of these studies will provide theoretical guidance on various aspects of communication system design. This project studies the effects of polarization mode dispersion (PMD) on fiber communication systems. This is a phenomenon that degrades the performance of optical fiber communication systems. It occurs randomly along optical fibers, changes with time and is hard to control. Therefore it is a major limiting factor for the performance of optical telecommunication systems. The work will directly address the realistic problem of PMD effects on current fiber communication systemsthrough the develoment and analysis of mathematical models and will thus lead to design recommendations and performance bounds for such systems
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