Suppression of channel interference in optical communication networks based on blind signal separation
by Hu Jibao; Zhu Zhu; Li Juan; Xie Jun
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 13, No. 4, 2020

Abstract: In order to overcome the problem of low accuracy and poor stability caused by the one-sided information blind separation analysis of the current communication channel interference suppression research methods, this paper proposes the optical communication network channel interference suppression method based on blind signal separation algorithm. The receiver unit, field programmable gate array (FPGA) unit, memory chip group and other modules are used to construct the channel signal acquisition system, and the collected signals are preprocessed by centralisation and whitening. Based on the signal preprocessing results, the blind separation of instantaneous linear mixed signals, blind separation of convolutional mixed signals and blind separation of sparse sources were comprehensively analysed to obtain the source signals and realise channel interference suppression of optical communication network. Experimental results show that this method has high interference precision, strong stability and good application prospect.

Online publication date: Fri, 22-Jan-2021

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