title: A compact nonlinear fiber-based optical autocorrelation peak discriminator.
abstract: We experimentally demonstrate a nonlinear fiber-based optical autocorrelation peak discriminator. The approach exploits four-wave mixing in a 37-cm highly-nonlinear bismuth-oxide fiber that provides a passive and compact means for rejecting cross-correlation peaks. The autocorrelation peak discriminator plays an important role in improving the detection of optical CDMA signals. Eye diagrams and bit-error rates are measured at different power ratios. Significant receiver sensitivity improvements are obtained and error-floors are removed. The experimental results show that the autocorrelation peak discriminator works well even when the amplitudes of individual cross-correlation peaks are higher than that of the autocorrelation peak.
authors.affiliation: Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA. mfok@princeton.edu
authors.forename: M P
authors.initials: MP
authors.lastname: Fok
authors.forename: Y
authors.initials: Y
authors.lastname: Deng
authors.forename: P R
authors.initials: PR
authors.lastname: Prucnal
mesh_terms: D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005336:Fiber Optic Technology / Q000295:instrumentation*; D017711:Nonlinear Dynamics; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013685:Telecommunications / Q000295:instrumentation*; D014159:Transducers