E.P. Vinogradova1

1 St. Petersburg State University of Aerospace Instrumentation (SUAI) (St. Petersburg, Russia)

Among a variety of problems associated with the correlation analysis of current images and pseudo-images, problems related to the processing of such images in conditions of limited computing resources in real time are clearly distinguished. The different types of images give rise to numerous processing algorithms, in particular, the method described in this paper based on the Hilbert transform, which, in turn, necessitates the introduction of a classification of correlation systems corresponding to these algorithms. Objective – to develop a way to build a correlation-extreme navigation system that fits within the framework of the proposed classification model.

The paper considers the methodology of correlation navigation systems in the context of using such systems to solve the problems of autonomous navigation of unmanned aircraft. The place in this classification of correlation sensing elements based on the Hilbert transform is determined, and the principles of construction and the main characteristics of such devices are given.

The given classification technique allows us to clarify the place of the correlation sensitivity element proposed in the work based on the Hilbert transform among modern correlation systems, the considered methods of systematization of correlation algorithms used depending on the predictability of current images.

Vinogradova E.P. A way to build a correlation-extreme navigation system based on the Hilbert transform. Achievements of modern radioelectronics. 2023. V. 77. № 8. P. 77–83. DOI: https://doi.org/10.18127/j20700784-202308-10 [in Russian]

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