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2015
Conference Paper
Titel
Investigation of CAZAC sequences for data-aided channel estimation considering nonlinear optical transmission
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.