Abstract
We propose a scheme for estimating the level of beat noise that adaptively cancels the noise from the received signals and thus solves a critical problem: minimizing the bit error rate of OCDMA systems. This scheme is implemented as an adaptive filter based on an expansion of the Volterra series: the received signal is used to estimate the key components of beat noise, transmitted signal and additive Gaussian noise. The Volterra series can be used to describe the simultaneous occurrence of optical signals from different transmitters, which causes the beat noise. We show the configuration, operation principles and performance of the adaptive filter. We also show that the proposed combination of maximum likelihood detection and the estimation of the beat noise reduces the bit error rate and thus raise the performance of a system so that it approaches the level offered by an equivalent system with no beat noise.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Journal of The Institute of Image Information and Television Engineers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
