Phase Regeneration of a BPSK Data Signal Using a Lithium Niobate Phase Modulator

Mulvad, Hans Christian Hansen; Ros, Francesco Da; Galili, Michael; Dalgaard, Kjeld; Oxenløwe, Leif Katsuo

doi:10.1109/jlt.2015.2408568

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…However, this method is limited by the bandwidth of electronic components and can only be used for single-channel operation. Literature [14] modified above scheme but was still affected by bandwidth. Literature [15], [16] designed signal transmission system based on applying physical-layer network coding (PNC), of which literature [15] restrained inter-carrier interference generated by carrier frequency offset by utilizing BP-PNC algorithm, thus lowering transmission error rate of BPSK signal.…”

Section: Introductionmentioning

confidence: 99%

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

et al. 2020

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Given that signal is weakened to a certain extent in the process of noise suppression using mainstream method, and that new noise is introduced by signal processing system, causing the decrease of detection performance, to improve the performance of detection to BPSK signal under the condition of strong noise and no prior information, the detection algorithm of BPSK signal of bistable stochastic resonance model based on scale change is proposed in this study. Using classical bistable stochastic resonance (BSR) system, only low-amplitude and low-frequency periodic signal can be processed. Scale change is first made to BSR in this study, verifying that BSR can be applied to high-frequency BPSK signal under high sampling frequency condition, and nonlinear threshold detection system is designed following Neyman-Pearson criterion to deduce and quantitatively show error rate of detector. Besides, complete flow for signal detection was built by taking it as feedback quantity to adjust the system parameters adaptively. Scale change feasibility and applicability of algorithm proposed in this study were verified through simulation experiment, which lays the theoretical basis for the detection of weak BPSK signal under low signal-to-noise ratio (SNR).

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Section: Introductionmentioning

confidence: 99%

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

et al. 2020

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Experimental demonstration of phase-sensitive regeneration of a binary phase-shift keying channel without a phase-locked loop using Brillouin amplification

et al. 2016

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All-optical phase regeneration of a binary phase-shift keying signal is demonstrated at 10-30 Gb/s without a phase-locked loop in a phase-sensitive amplification-based system using Brillouin amplification of the idler. The system achieves phase noise reduction of up to 56% and up to 11 dB OSNR gain at 10^-5 bit error rate for the 10 Gb/s signal. The system's sensitivity to different parameters and stability is also evaluated.

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Phase Regeneration of a BPSK Data Signal Using a Lithium Niobate Phase Modulator

Cited by 2 publications

References 22 publications

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

Experimental demonstration of phase-sensitive regeneration of a binary phase-shift keying channel without a phase-locked loop using Brillouin amplification

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