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Application of a digital micromirror device in diffractive optical neural networks: space-time characteristics and limitations

https://doi.org/10.32446/0368-1025it.2025-6-93-101

Abstract

Digital micromirror devices are widely used for optical processing of graphic information, including for the purpose of building holographic display systems and adaptive formation of light beams. Modulators are also used in the creation of diffraction neuron-like systems. The demand for modulators of this type is due to the unique combination of high switching speed and high spatial resolution for optical systems. This paper presents the results of an experimental study of the HDSLM54D67 digital micromirror device (UPO Labs, China), which, according to the manufacturer, has advanced characteristics for its type. The true values of its spatial and velocity parameters are estimated by displaying binary computer-synthesized Fourier holograms and two-dimensional distributions in the form of geometric primitives. The results revealed an abnormal modulation of the left half of the micromirror matrix, leading to a parasitic doubling of the images reconstructed from the holograms. The analysis of the causes of these distortions was carried out, and their connection with the features of the modulator control unit was revealed. The limitations of the applicability of this digital micromirror device model are determined in accordance with the identifi ed spatial limitations (using only the half of the micromirror matrix with a resolution of 1358×1600 pixels) and proposals for optimal integration of the modulator into an optical system are formulated. The use of a modulator is possible, but theoretically the maximum bandwidth will be reduced by 2 times. The results of the study can be used in further optical experiments with this digital micromirror device, including for the task of constructing a diffraction neural network.

About the Authors

A. S. Ovchinnikov
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Andrey S. Ovchinnikov

Moscow



A. A. Volkov
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Anton A. Volkov

Moscow



A. V. Shifrina
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Anna V. Shifrina

Moscow



E. K. Petrova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Elizaveta K. Petrova

Moscow



V. A. Nebavskiy
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Vsevolod A. Nebavskiy

Moscow



R. S. Starikov
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Rostislav S. Starikov

Moscow



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Supplementary files

Review

For citations:


Ovchinnikov A.S., Volkov A.A., Shifrina A.V., Petrova E.K., Nebavskiy V.A., Starikov R.S. Application of a digital micromirror device in diffractive optical neural networks: space-time characteristics and limitations. Izmeritel`naya Tekhnika. 2025;74(6):93-101. (In Russ.) https://doi.org/10.32446/0368-1025it.2025-6-93-101

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ISSN 0368-1025 (Print)
ISSN 2949-5237 (Online)