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Investigation of CAZAC Sequences for Data-Aided Channel Estimation Considering Nonlinear Optical Transmission

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Abstract

We investigate CAZAC sequences with positive and negative chirp for the use as training sequences in data-aided channel estimation. While both sequences show the same linear performance, the right choice of chirp is critical in case of nonlinear transmission. A performance difference of up to 2 dBQ was experimentally verified.

© 2015 Optical Society of America

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