31st European Conference on Optical Communications (ECOC 2005) 2005
DOI: 10.1049/cp:20050685
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Square root strategy: a novel method to linearize an optical communication system with electronic equalizers

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Cited by 30 publications
(26 citation statements)
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“…From (24) notice that the computation of the cost function for every candidate symbol sequence { } can be achieved from the samples at the outputs of the matched filters given by (25).…”
Section: Mlsd Receiver For Nonlinear Channels With Awgnmentioning
confidence: 99%
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“…From (24) notice that the computation of the cost function for every candidate symbol sequence { } can be achieved from the samples at the outputs of the matched filters given by (25).…”
Section: Mlsd Receiver For Nonlinear Channels With Awgnmentioning
confidence: 99%
“…It has been found that after a square root transformation, the noise can be assumed Gaussian and signal-independent [23,24]. Furthermore, channel nonlinearities can also be reduced by using the square root transformation [25], which improves the space compression used to reduce the receiver dimension (i.e., most of the channel energy is concentrated on the linear kernel). The split-step Fourier method [26] is used to compute the propagation of optical signals through the fiber.…”
Section: Performance Evaluation In Im/dd Optical Systemsmentioning
confidence: 99%
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“…As a result, inter-aircraft optical wireless communication (IaOWC) technology has been developed. OWC technology requires clear line-of-sight (LOS) between the transmitter and the receiver [2]. Due to the high probability of blocking the LOS due to the presence of clouds, it is desired to have multiple redundant information transmission pathways for a reliable information transmission system.…”
Section: Introductionmentioning
confidence: 99%
“…8,9 But they cannot fully compensate the distortions because the absolute square-law detection of the photodiode (PD) is the fundamental reason why the performance of conventional linear equalizer is degraded. A nonlinear equalizer is used to further enhance the system performance, such as a mathematical square root operator (SQRT), 10 nonlinear FFE-DFE (NL-FFE-DFE), 11 and maximum-likelihood sequence estimation (MLSE). 12,13 SQRT can linearize the receiver before equalization, but this cannot change the fact that the phase information introduced by dispersion is lost even after the square root operation.…”
Section: Introductionmentioning
confidence: 99%