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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v77.i10.40
pages 875-890

ESTIMATION OF MATCHING OF OPTIMAL DYNAMIC SPECTRAL FILTRATION IN ELECTRO-OPTICAL SYSTEMS OF TARGET DETECTION

L. F. Kupchenko
Ivan Kozhedub National Air-Force University of Kharkiv, 77/79, Sumskaya Str., Kharkiv 61023, Ukraine
A. S. Rybiak
Ivan Kozhedub National Air-Force University of Kharkiv, 77/79, Sumskaya Str., Kharkiv 61023, Ukraine
О. А. Gurin
Ivan Kozhedub Kharkiv National University of Air Force, 77/79 Sumska St., 61023 Kharkiv, Ukraine

RESUMO

The paper is related to studying the properties of the electro-optical systems with matched spectral dynamic filtration. It is usually supposed that the optimal optical signal detector is synthesized at the assumption of a priori information about the statistical characteristics of the target and background signals and the equality of the target and the background correlation matrices. However, in practice, there is always a mismatch between the input and the reference (expected) optical signals. The objective of this paper is to generalize and develop the methods for estimation of matching of the optimal signal processing in electro-optical systems with dynamic spectral filtration, which makes it possible to study the influence of the difference between the input and reference signals on the processing quality. In this paper, the information criterion – the normalized Kullbak–Leibler divergence, which is the ratio between the divergences at the output and input of the dynamic spectral filter – is used as a measure of matching of the optimal signal processing in electro-optical systems with dynamic spectral filtration. The analysis of the properties of the suggested information matching indicator and its comparison with the probability of correct detection is carried out. A mathematical model of the process of optimal dynamic spectral filtration in electro-optical systems is built. The examples show the extent to which the differences in the statistical characteristics of input and reference signals affect the information matching indicator. In particular, the article poses and solves three problems that illustrate the process of optimal spectral filtration in the following situations: 1) the statistical properties of the input and the reference signals form a complete match; 2) the mean brightness of the optical radiation of the target and the background at the input of the electro-optical system is changed; 3) the statistical characteristics of the background input signal differ from the reference values.


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