Abstract
AbstractA neural processing‐type optical wavelength division multiplexing (WDM) demultiplexer (NP‐ODEMUX), which consists of diffraction grating, detector array, and neural network LSI, is proposed in order to improve receiver sensitivity while maintaining flexible demultiplexing characteristics. In previous work, a neural processing‐type optical WDM demultiplexer using a multimode optical waveguide was proposed. This conventional NP‐ODEMUX and the proposed grating‐type NP‐ODEMUX are compared using power penalty calculation simulations. The results show that receiver sensitivity is improved using the proposed grating‐type NPODEMUX.Also, a standard diffraction grating demultiplexer without neural processing is compared with the proposed NP‐ODEMUX using power penalty and it is shown that the proposed NP‐ODEMUX can demultiplex WDM signals without degrading receiver sensitivity. Next, the results of the demultiplexing experiment for six‐channel WDM signal which has been directly modulated at 150 Mb/s using nonreturn to zero (NRZ) pseudorandom signal by grating‐type NP‐ODEMUX prototype are described. Bit‐error rate measurement for both the conventional diffraction grating demultiplexer and the grating‐type NP‐ODEMUX using neural processing for the unequally spaced WDM signals revealed that the receiver sensitivity can be greatly improved and that it can flexibly compensate wavelength change.
Published Version
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