S.V. Kulikov

2023

1. Substantiation of the requirements for the initial conditions in solving the problem of rendezvous with large space debris Achievements of Modern Radioelectronics, No. 4, 2023 pp. 53-61
2. Methodology for estimating the error in predicting the position of space debris elements based on the results of tracking by a radar information tool Achievements of Modern Radioelectronics, No. 4, 2023 pp. 44-52
3. Modelling of the air space monitoring system Electromagnetic Waves and Electronic Systems, No. 3, 2023 pp. 70-82
4. Substantiation of the requirements for the initial conditions in solving the problem of rendezvous with large space debris Electromagnetic Waves and Electronic Systems, No. 1, 2023 pp. 28-36

2022

1. Methodology for estimating the error in predicting the position of space debris elements based on the results of tracking by a radar information tool Electromagnetic Waves and Electronic Systems, No. 2, 2022 pp. 39-47

2021

1. Model of the functioning of the optoelectronic information system for detecting space debris Information-measuring and Control Systems, No. 4, 2021 pp. 5-13

2020

1. Modelling of the air space monitoring system Radioengineering, No. 4, 2020 pp. 46-58
2. Features of forming the algorithm of information processing system based on empirical data Electromagnetic Waves and Electronic Systems, No. 3, 2020 pp. 57-64

2017

1. Method of recognition of types of space objects based on a set of radio technical features taking into account the weighting coefficients Achievements of Modern Radioelectronics, No. 9, 2017 pp. 57-65

2016

1. The solution of a problem of recognition of the radiating objects on the basis of use of an algorithm of comparison of spectral portraits Science Intensive Technologies, No. 12, 2016 pp. 12-17

2015

1. Solving an emitting objects recognition task through identification of their directional diagrams Science Intensive Technologies, No. 12, 2015 pp. 26-30

2012

1. Entropy quality estimation of a neural network converter «biometrics-code» parameter Neurocomputers, No. 3, 2012 pp. 65-70
2. Integration of «heavy tails» of an abnormal law of biometric parameters of all «Foes» distribution during the configuration of the nonlinear neuron element with several discrete states Neurocomputers, No. 3, 2012 pp. 56-60
3. Modeling of long biometric codes, reproducing correlation of neural network converter output data Neurocomputers, No. 3, 2012 pp. 40-43

2011

1. Estimation of mutual influence of radiators of the antenna lattice Science Intensive Technologies, No. 8, 2011 pp. 27-30