K.P. Masyukov – Ph.D.(Eng.), Associate Professor, 

Mozhaysky Military Space Academy (Saint Petersburg)

E-mail: konstanmasuykov@rambler.ru

D.Yu. Konovalov – Ph.D.(Eng.), Lecturer, 

Mozhaysky Military Space Academy (Saint Petersburg)

E-mail: duk2103@rambler.ru

D.V. Miheev – Ph.D.(Eng.), Associate Professor, 

Mozhaysky Military Space Academy (Saint Petersburg) E-mail: Timonmicro@mail.ru

According to existing estimates, there are more than 500 000 man-made space objects (TSO) with a size of 1…10 cm and several tens of millions of small objects (millimeter size) in near-earth space (NES). The modern way of space exploration, unfortunately, leads to environmental threats to the atmosphere and NES. Large and medium-sized space objects can be observed by ground-based means of space monitoring – using optical methods and radar. In this case, objects smaller than 10 cm can be observed by existing means of control only in low orbits (up to 2000 km). Observation of TSO (elements of «space debris») is an urgent task. The characteristics of the quality of estimation of coordinates investigated by TSO are the measurement accuracy achievable with the help of the proposed processing algorithm and illustrated by the corresponding detection curves. Such indicators rely on the root-mean-square errors of coordinate estimation, as well as the probability of correct detection. The purpose of the description is a schematic demonstration and analysis of achievable characteristics using the developed algorithm. In geostationary and highly elliptical orbits, it is carried out by ground-based passive optoelectronic systems (GPOES) [1]. The optical complex presented in [2] and other GPOES in the observation of «space debris» are single-position systems. Taking into account trends of noisy fields and joint data processing of several separate optical complexes can significantly improve the quality of control over TSO [3].

The article presents an adaptive algorithm for the detection of TSO, which expands the possibility of evaluating the results of primary signal processing taking into account the gradient coefficients of noisy fields and allows the implementation to provide significant advantages over a single-position optoelectronic system.

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