350 rub
Journal Achievements of Modern Radioelectronics №2 for 2022 г.
Article in number:
Methodology of tracking of closely located objects with different motion characteristics by information and measurement system
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700784-202202-04
UDC: 621.396.965.81
Authors:

Е.Е. Smirnov1, А.А. Pozdniakov2

1,2 Military Space Academy named after A.F. Mozhajskij (St. Petersburg, Russia)

Abstract:

There is the necessary to design the method that will be allow to decide the existed uncertainty in using the radar for the tracking sophisticated and controlled movement targets as well as will be allow to estimate the performances to set up the measuring and extrapolated filter in terms of time and resource costs. The uncertainty lies in the fact that when tracking controlled movement targets, wide correlation strobes need to be formed, however, when tracking sophisticated targets, such strobes should be smaller.

In accordance with the task of developing a methodology for calculating the trajectory of sophisticated and controlled movement targets, a method was developed by a radar. It allows for the joint detection and recognition of signals reflected from controlled movement targets, as well as linking spots to trajectories in conditions of working with sophisticated targets according to a new non-coordinate basis. This allows to resolve the uncertainty associated with the maintenance of sophisticated and controlled movement targets. Unlike existing solutions, the developed method proposes to produce parallel coherent and incoherent accumulation of the burst signal, which corresponds to taking into account the influence of fluctuations of each pulse in the burst and the entire signal. After this, the obtained values of the signal-to-noise ratios are compared with the threshold value. As a result, a decision is made on the nature of the movement of the target. The same data in conjunction with the used information is used when linking spots to trajectories to correct the parameters of the estimation and extrapolation filters, as well as when specifying the sizes of correlation gates for further tracking.

We can say that to increase the effectiveness of tracking sophisticated and controlled movement targets, it is necessary to conduct joint detection and recognition of targets by their non-coordinate information, which is the difference in the signal-to-noise ratios from the outputs of the coherent and incoherent signal storage, characterizing the features of fluctuations, in the processing of information of one spot.

A method has been developed that allows:

constructing target tracking algorithms based on processing coordinate and non-coordinate information;

to resolve the uncertainty associated with the maintenance of sophisticated and controlled movement targets;

to increase the effectiveness of maintenance without attracting significant costs;

the selection of sophisticated targets for the energy components of its components;

to provide throughput at a given level;

to reduce the errors of estimation and extrapolation of the coordinates of sophisticated targets.

The practical significance of the developed technique lies in the ability of the radar to accompany sophisticated and controlled movement targets with a given value of the performance indicator. Solving the information processing problem using the joint detection and recognition method allows increasing the probability of the information of the first typical message by 15…20% while preserving the set throughput value.

Pages: 30-42
For citation

Smirnov Е.Е., Pozdniakov А.А. Methodology of tracking of closely located objects with different motion characteristics by information and measurement system. Achievements of modern radioelectronics. 2022. V. 76. № 2. P. 30–42. DOI: https://doi.org/10.18127/ j20700784-202202-04 [in Russian]

References
  1. Pozdnyakov A.A., Kalinin T.V., Shatalov A.A., Khodataev N.A. Osobennosti soprovozhdeniya manevriruyushchikh tseley s bystroizmenyayushcheysya skorost'yu v radiotekhnicheskikh ustroystvakh. Vestnik Rossiyskogo novogo universiteta. Ser. «Slozhnye sistemy: modeli, analiz, upravlenie». 2018. № 3. S. 37–47. [in Russian]
  2. Smirnov O.L., Stavitskiy O.N., Nakonechnyy A.A., Gorelyshev S.S. Adaptivnoe upravlenie rezhimov soprovozhdeniya mnogofunktsional'noy RLS. Tekhnologii priborostroeniya. 2015. № 1. S. 14–19. [in Russian]
  3. Kovtunov A.L., Leshchenko S.P., Baturins'kiy M.P., Pol'shina L.V. Metod obnaruzheniya manevra radiolokatsionnoy tseli v obzornykh RLS s ispol'zovaniem sverkhshirokopolosnykh signalov. Sb. trudov Khar'kovskogo un-ta Vozdushnykh sil. 2013. № 3. S. 55–59. [in Russian]
  4. Mikheev D.V., Shatalova V.A., Yastrebkov A.B. Adaptivnyy algoritm sovmestnogo obnaruzheniya-raspoznavaniya signalov medlenno i bystro fluktuiruyushchikh tseley pri nalichii pomekh. Vestnik vozdushno-kosmicheskoy oborony. 2016. № 2. S. 94–100. [in Russian]
  5. Dashkin E.R. Adaptivnyy algoritm obnaruzheniya signalov malozametnykh kosmicheskikh ob"ektov v passivnykh optiko-elektronnykh sistemakh spetsial'nogo naznacheniya na slozhnom pomekhovom fone pri apriornoy neopredelennosti. Voprosy radioelektroniki. Ser. «Tekhnika i televidenie». 2015. № 4. S. 87–93. [in Russian]
  6. Farina A., Studer F. Tsifrovaya obrabotka radiolokatsionnoy informatsii. Soprovozhdenie tseley. Per. s angl. Pod red. A.N. Yur'eva. M.: Radio i svyaz'. 1993. [in Russian]
  7. Pozdnyakov A.A., Shatalov A.A., Shatalova V.A. Algoritm raspoznavaniya medlenno i bystro fluktuiruyushchikh tseley na fone pomekh mnogochastotnoy RLS s FAR. Vestnik vozdushno-kosmicheskoy oborony. 2019. № 2. S. 85–95. [in Russian]
  8. Pozdnyakov A.A. Metodika sovmestnogo obnaruzheniya i soprovozhdeniya tseley pri nalichii pomekh. Vestnik vozdushno-kosmicheskoy oborony. 2020. № 2. S. 39–47. [in Russian]
  9. Svid. o gos. regist. № 2019664466. Programmnyy kompleks otsenivaniya rezul'tativnosti algoritmov soprovozhdeniya tseley. Pozdnyakov A.A. Prioritet ot 7.11.2019. [in Russian]
  10. Savrasov Yu.S. Algoritmy i programmy v radiolokatsii. M.: Radio i svyaz'. 1985. [in Russian]
  11. Yanan Liu, Sese Wang, Zhuo Sun, Jihong Shen Evaluation of nonlinear filtering for radar data tracking. EURASIP Journal on Wireless Communications and Networking. December 2015. 2015:18. P. 9. DOI 10.1186/s1 3638-015-0249-x.
Date of receipt: 25.10.2021
Approved after review: 16.11.2021
Accepted for publication: 27.01.2022