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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Digital simulation of scalar optical diffraction: revisiting chirp function sampling criteria and consequences.

David G Voelz1, Michael C Roggemann

  • 1New Mexico State University, Klipsch School of Electrical and Computer Engineering, Las Cruces, New Mexico 88003, USA. davvoelz@nmsu.edu

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|November 12, 2009
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Accurate optical diffraction simulations depend on sampling the phase chirp function. Non-ideal sampling in FFT-based methods reduces simulation accuracy and available support sizes, impacting Fresnel propagation analysis.

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Area of Science:

  • Computational optics and electromagnetics.
  • Numerical simulation of wave propagation.

Background:

  • Accurate simulation of scalar optical diffraction is crucial for various optical system designs.
  • Fresnel diffraction calculations involve a phase chirp function that requires careful sampling.

Purpose of the Study:

  • To analyze the impact of sampling regimes on Fast Fourier Transform (FFT)-based Fresnel propagation methods.
  • To define conditions and consequences of nonideal sampling in optical diffraction simulations.

Main Methods:

  • Investigated three sampling regimes: ideally sampled, oversampled, and undersampled.
  • Analyzed three FFT-based Fresnel propagation approaches: angular spectrum, single FFT, and two-step methods.
  • Examined the discrete transforms of sampled chirp functions and their impact on simulation accuracy.

Main Results:

  • Nonideal sampling (under- or oversampling) reduces source plane support size, source bandwidth, or observation support size.
  • Ideal sampling offers the most accurate results but is challenging to implement practically.
  • Demonstrated the relationships between different methods under ideal sampling and the consequences of nonideal sampling.

Conclusions:

  • Proper sampling of the phase chirp function is critical for accurate FFT-based optical diffraction simulations.
  • Understanding sampling limitations is essential for selecting appropriate propagation methods and parameters.
  • The analysis extends to the sampling constraints of the Rayleigh-Sommerfeld diffraction solution.