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Optimal pulse design for communication-oriented slow-light pulse detection.

Michael D Stenner1, Mark A Neifeld

  • 1Department of Electrical and Computer Engineering, The College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA. mstenner@ece.arizona.edu

Optics Express
|June 11, 2008
PubMed
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We developed optimal pulse design techniques for linear slow-light systems, maximizing signal-to-noise ratio (SNR) and signal-to-noise-plus-interference ratio (SNIR) for enhanced signal detection and delay.

Area of Science:

  • Photonics and Optical Communications
  • Signal Processing

Background:

  • Linear slow-light systems offer controlled light delays but are susceptible to noise and interference.
  • Optimizing pulse shapes is crucial for maximizing signal fidelity in these systems.

Purpose of the Study:

  • To develop pulse design techniques that maximize signal-to-noise ratio (SNR) and signal-to-noise-plus-interference ratio (SNIR) in linear slow-light systems.
  • To improve detection accuracy and extend delay capabilities within a defined communication model.

Main Methods:

  • Formulated a communication model with finite input temporal windows and temporally-offset output windows.
  • Derived optimal pulse shapes maximizing SNR and SNIR for detected pulse energy.
  • Analyzed performance improvements in terms of dB gain and increased detection delay.

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Main Results:

  • SNIR-optimal pulses demonstrated up to 10 dB improvement over traditional pulse shapes for a fixed output window offset.
  • Achieved a 0.3 times window width increase in detection delay for fixed SNR or SNIR.
  • Introduced a communication-based framework for analyzing delay and signal fidelity.

Conclusions:

  • The proposed pulse design techniques significantly enhance signal detection in linear slow-light systems.
  • Optimized pulses enable greater detection delays without compromising signal quality.
  • This work provides a novel approach to optimizing communication systems utilizing slow-light phenomena.