Citation: Khorin, P.A.; Porfirev, A.P.;
Khonina, S.N. Adaptive Detection of
Wave Aberrations Based on the
Multichannel Filter. Photonics 2022, 9,
204. https://doi.org/10.3390/
photonics9030204
Received: 30 January 2022
Accepted: 19 March 2022
Published: 21 March 2022
Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations.
Copyright: © 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
photonics
hv
Article
Adaptive Detection of Wave Aberrations Based on the
Multichannel Filter
Pavel A. Khorin
1
, Alexey P. Porfirev
2
and Svetlana N. Khonina
1,2,
*
1
Samara National Research University, 443086 Samara, Russia; paul.95.de@gmail.com
2
Image Processing Systems Institute of RAS—Branch of the FSRC “Crystallography and Photonics” RAS,
443001 Samara, Russia; porfirev.alexey@ipsiras.ru
* Correspondence: khonina@ipsiras.ru
Abstract: An adaptive method for determining the type and magnitude of aberration in a wide range
is proposed on the basis of an optical processing of the analyzed wavefront using a multichannel
filter matched to the adjustable Zernike phase functions. The approach is based on an adaptive (or
step-by-step) compensation of wavefront aberrations based on a dynamically tunable multichannel
filter implemented on a spatial light modulator. For adaptive filter adjustment, a set of criteria
is proposed that takes into account not only the magnitude of the correlation peak, but also the
maximum intensity, compactness, and orientation of the distribution in each diffraction order. The
experimental results have shown the efficiency of the proposed approach for detecting wavefront
aberrations in a wide range (from 0.1λ to λ).
Keywords: wavefront aberrations; adaptive method; Zernike functions; wavefront sensor;
multichannel diffractive optical element
1. Introduction
The problem of measuring and correcting wavefront aberrations is often encountered
in optics, for example, in the design of ground-based telescopes, in optical communication
systems, in industrial laser technology, and in medicine [1–12]. Usually, the measurement
of wavefront distortions is performed in order to compensate them, in particular, with
adaptive or active optics [13–18]. The major causes of wavefront aberrations are turbulence
of the atmosphere, imperfect shapes of the optical elements of the system, errors in the
alignment of the system, etc.
It is known that weak wavefront aberrations (level ≤ 0.4λ) are well detected using
spatial filters matched to the basis of Zernike functions [19–27] including multichannel
diffractive optical elements (DOEs) [21,25,27]. However, with an increase in aberration level,
the linear approximation of the wavefront by Zernike functions becomes unacceptable [27].
This is explained by the fact that the contribution of the second and subsequent nonlinear
terms of the wavefront expansion to the Taylor series becomes more significant, which
leads to the detection of false aberrations.
With high aberrations (level > 0.4λ), when a significant blurring of the focal spot occurs,
it makes sense to use methods focused on analyzing the intensity distribution pattern
formed by an aberrated optical system in one or several planes. To determine the wavefront
in this case, iterative [28–32] and optimization algorithms [10,33] are used, including those
with the use of neural networks [34–39]. In turn, these approaches demonstrate significant
errors for small aberrations, when the point spread function (PSF) is close to the Airy
picture of an ideal system [27].
Thus, different methods work at different levels of aberrations, and in order to apply
them, it is desirable to determine this level (or magnitude). One of the solutions is the use
of additional optical and digital processing, for example, based on a dynamically tunable
spatial light modulator (SLM). Previously, we studied the stability of the wavefront
Photonics 2022, 9, 204. https://doi.org/10.3390/photonics9030204 https://www.mdpi.com/journal/photonics