RU2740708C1 - Radio monitoring results processing method - Google Patents

Abstract

FIELD: automation of information-control systems.

SUBSTANCE: disclosed is a method of processing RM results, which consists in forming a database with data on physical and geographical conditions of a given region, forming computer models of objects and entering into a database. Data array with parameters of radioelectronic facilities (REM) is formed, data array with parameters of communication points of control stations, an array of data with reference standards for locating communication nodes on the ground, an array of data with reference descriptions of various versions of the operational and electromagnetic environment (EME) corresponding thereto, and EME is evaluated during operation. By its results locality REM is determined, obtained results of current EME are compared to its reference models. If they coincide, a decision is made on the existing operational situation and probable location of the evaluated objects and their state.

EFFECT: high rate of processing an input data stream by arranging a sequence of processing steps based on determining changes introduced by the input data stream, timely correction of information based on aging thereof.

1 cl, 2 tbl, 2 ex, 9 dwg

Description

The invention relates to the field of automation of information and control systems for radio monitoring (RM), operating in real time, and can be used to process the results of radio monitoring in a complex electromagnetic environment.

A known method of ensuring electromagnetic compatibility of communication systems, described in US Pat. RF No. 2271067, IPC G01S 13/46, published on December 27, 1998. It consists in identifying groups of specific transmitters that can operate simultaneously on a given frequency channel from a range of operating frequencies with specified parameters of radiated radio signals, providing radio coverage of the served area without providing unacceptable impact on receivers of other radio-electronic equipment.

The analogue method has disadvantages associated with the inability to identify objects in a given area (serviced area), including radio electronic equipment (RES) with various parameters of radiated radio signals, which ultimately does not allow assessing the overall electronic and operational situation.

- физических параметров объектов i-го типа, i=1, 2, …, I, фото или радиолокационных снимков Ph_i, формирование третьего массива данных с потенциальными данными об их пространственно-временных и количественных характеристиках и о технико-экономических показателях их работы, отображение полученной модели, а в процессе работы на основе полученных данных определение значения показателей боевого воздействия каждого объекта, задание цветовой шкалы преобразования показателей боевого воздействия, функционирования и представления каждой модели объекта в изображение, отображение данных об объектах в виде табличного и/или графического представления, выделение из второго и третьего массивов данных объектов, которые относят соответственно к первому и второму участникам военных действий, формирование на основе последних четвертого и пятого массивов данных, воспроизведение этапов итерационного процесса боевого взаимодействия моделей участников военных действий и отображения его на экране компьютера, при этом на каждом этапе этого процесса осуществляют формирование области боевого взаимодействия каждого объекта для каждого участника военных действий, анализ наличия совпадений сформированных областей цветокодовых изображений первой и второй моделей участников военных действий, при этом совпадения принимают за факт попадания в цель, фиксирование наличия и отсутствия попаданий, по которым оценивают результативность соответствующих объектов, занесение в базу данных пространственно-временных и количественных показателей объектов с полученной результативностью для каждого участника военных действий, формирование шестого массива данных на основе полученных результатов, отображение полученных результатов в виде диаграмм и ранжировка по убыванию результативности пространственно-временных и количественных показателей объектов, содержащихся в шестом массиве, выделение групп объектов, характеристики которых соответствуют заданным условиям выбора, из которых формируют седьмой массив данных, занесение в последний данных о технико-экономических показателях разработки соответствующих объектов, формирование восьмого массива данных об экономических показателях разработки выделенной группы объектов.A known method for assessing the effectiveness of the process of developing objects of military equipment, described in US Pat. RF No. 2282243, IPC G06T 17/50, G06N 5/50, publ. 20.08.2006, bul. No. 23. At the preparatory stage, it includes the formation of a database as part of the first array with data on the physical and geographical conditions of a given area, the formation of computer models of objects and entering them into the database in the form of a second data array:

- physical parameters of objects of the i-th type, i = 1, 2, ..., I, photos or radar images Ph _i , the formation of a third data array with potential data on their spatial, temporal and quantitative characteristics and on the technical and economic indicators of their work, displaying the resulting model, and in the process of work, based on the data obtained, determining the value of the combat impact indicators of each object, setting the color scale for converting the combat impact indicators, functioning and representing each model of the object into an image, displaying data about the objects in the form of a tabular and / or graphical representation, selection of objects from the second and third data sets, which are referred to the first and second participants in hostilities, respectively, forming on the basis of the last fourth and fifth data sets, reproducing the stages of the iterative process of combat interaction of models of participants in hostilities and displaying it on a computer screen, At the same time, at each stage of this process, an area of combat interaction of each object is formed for each participant in hostilities, an analysis of the presence of coincidences of the formed areas of color-coded images of the first and second models of participants in hostilities is carried out, while the coincidences are taken as the fact of hitting the target, recording the presence and absence of hits , according to which the effectiveness of the corresponding objects is assessed, the entry into the database of the spatial-temporal and quantitative indicators of the objects with the obtained effectiveness for each participant in the hostilities, the formation of the sixth data array based on the results obtained, the display of the results obtained in the form of diagrams and ranking in descending order of the effectiveness of the spatial time and quantitative indicators of the objects contained in the sixth array, the selection of groups of objects, the characteristics of which correspond to the given selection conditions, from which the seventh data array is formed, for bringing to the latter data on the technical and economic indicators of the development of the corresponding objects, the formation of the eighth array of data on the economic indicators of the development of the selected group of objects.

The analog method allows to simulate the process of conducting military operations on the basis of computer models of military equipment objects.

However, the analogue has drawbacks that limit its application in the field of processing the results of radio monitoring. These include:

there is no accounting of the functioning RES, located at the facilities of military equipment or working in their interests;

the assessment of electromagnetic accessibility (EMD) to the RES of objects is not carried out;

there is no assessment of the current electromagnetic environment (EMO) in the area of radio monitoring (RM), the formation of conclusions on it;

the type of objects is not determined by the results of RM;

there are no conclusions about the current operational situation (OO) in a given area;

the formation of the received data is not carried out to consumers of information in a formalized form about the composition, state and activity of objects in a given area against the background of maps of geographic information systems (GIS).

i-го типа, i=1, 2, …, I, фото или радиолокационный снимок Ph_i, формирование третьего массива данных с потенциальными сведениями об их пространственно-временных и количественных характеристиках, общей площади заданного района S, площади элементарного участка S_i, удовлетворяющего требованиям по размещению i-го объекта или его элемента, удалению каждого i-го объекта от барьерного рубежа L_i для различных оперативных условий, взаимном расстоянии между i-м и j-м объектами D_ij, формирование четвертого массива данных с параметрами РЭС: Δƒ, V, T_u, mode_λ, τ_сп, τ_ти, где Δƒ - диапазон рабочих частот, V - вид передачи, T_u - тип РЭС, u=1, 2, … U, mode_λ - режим функционирования РЭС, λ=1, 2, …, Λ; τ_сп - среднее время работы РЭС при выходе в эфир, τ_ти - интервал времени пребывания u-го РЭС на одной позиции, пятого массива данных с параметрами узлов связи (УС) пунктов управления (ПУ): количеством n РЭС различных типов T_ип, n=1, 2, …, N, размерами необходимой площади для их развертывания S_r, S_r=n⋅S_i, шестого массива данных с оперативно-тактическими нормативами по размещению УС на местности: удалением УС от соответствующих ПУ d_n и барьерного рубежа L_n, взаимным удалением УС ПУ одного

и различных

уровней управления, временем пребывания УС на одной позиции T_ти, и седьмого массива данных с Н эталонными описаниями различных вариантов оперативной и соответствующих им вариантов ЭМО, а в процессе работы оценивание электромагнитной доступности РЭС УС ПУ объектов РМ, сведения о которой записывают в восьмой массив данных, оценивание с учетом всех восьми массивов базы данных текущей ЭМО, формирование девятого массива данных с результатами оценки ЭМО в заданном районе с учетом ЭМД РЭС узлов связи ПУ: ƒ_m, (х,у)_m, V_m, CS_m, T_m, mode_m,

,

, d_lj, где ƒ_m - рабочая частота обнаруженного излучения РЭС, (х,у)_m - координаты РЭС, работающего на m-й частоте, V_m - вид принятого на ней сигнала, CS_m - позывной работающего РЭС, T_m - идентификационный тип РЭС, mode_m - режим функционирования РЭС на m-й частоте,

- время работы РЭС;

- время пребывания РЭС на одной позиции, d_lj - взаимное удаление l-го и j-го РЭС, работающих в одной радиосети, уточнение местоположения обнаруженных РЭС с учетом пригодности элементарных участков S_i к их развертыванию, отображение полученных результатов в ГИС, определение по результатам оценки ЭМО локальных объединений РЭС, образующих УС ПУ, уточнение их местоположения с учетом пригодности участков S_r к их развертыванию, и локальных объединений анализируемых объектов, образованных совокупностью УС ПУ отдельных частей, соединений и объединений, регистрация результатов анализа ЭМО в десятом массиве данных, сравнение полученных результатов текущей ЭМО с ее эталонными моделями, хранящимися в седьмом массиве данных, принятие решения о сложившейся оперативной обстановке и вероятном местоположении оцениваемых объектов и их состоянии, при совпадении с заданной точностью текущей оценки ЭМО с описанием одной из эталонных моделей ЭМО, регистрация результатов оценки оперативной и электромагнитной обстановки в одиннадцатом массиве данных, формирование на их основе двенадцатого массива данных с формализованными данными об оперативной и электромагнитной обстановке в заданном районе для потребителей информации, которую представляют на электронной карте ГИС, продолжение оценки текущей электромагнитной обстановки при невыполнении пороговых условий, использование информации об объектах и их состоянии из десятого массива данных для формирования одиннадцатого массива данных.The closest in technical essence is a method for processing the results of radio monitoring, described in the patent of the Russian Federation No. 2659486, IPC G06T 1/00 (2006.01), publ. 02.07.2018, bul. No. 19. It includes at the preparatory stage the formation of a database as part of the first array with data on the physical and geographical conditions of a given area, the formation of computer models of objects and entering them into the database in the form of a second data array containing the physical parameters of the object

i-th type, i = 1, 2, ..., I, photo or radar image Ph _i , formation of the third data array with potential information about their spatial, temporal and quantitative characteristics, the total area of a given area S, the area of an elementary section S _i , satisfying the requirements for the placement of the i-th object or its element, the removal of each i-th object from the barrier line L _i for various operational conditions, the mutual distance between the i-th and j-th objects D _ij , the formation of the fourth data array with the parameters of the RES: Δƒ, V, T _u , mode _λ , τ _cn , τ _ty , where Δƒ is the operating frequency range, V is the type of transmission, T _u is the type of RES, u = 1, 2, ... U, mode _λ is the operating mode of the RES, λ = 1, 2,…, Λ; τ _cn is the average operating time of the RES when it goes on air, τ _ty is the time interval of the u-th RES at one position, the fifth data array with the parameters of communication nodes (CS) of control points (CP): the number n of RES of various types T _un , n = 1, 2, ..., N, the dimensions of the required area for their deployment S _r , S _r = n⋅S _i , the sixth data array with operational-tactical standards for the deployment of the US on the ground: the distance of the US from the corresponding launchers d _n and the barrier boundary L _n , mutual removal of the control unit of the PU of one

and various

control levels, the residence time of the US at one position T _ty , and the seventh data array with H reference descriptions of various operational options and the corresponding EMO options, and in the process of work, the assessment of the electromagnetic availability of the RES US of the PU of RM objects, information about which is recorded in the eighth data array , estimation taking into account all eight arrays of the current EMO database, the formation of the ninth data array with the results of the EMO assessment in a given area, taking into account the EMD of the RES of the communication nodes of the PU: ƒ _m , (x, y) _m , V _m , CS _m , T _m , mode _m ,

,

, d _lj , where ƒ _m is the operating frequency of the detected REM radiation, (x, y) _m are the coordinates of the REM operating at the mth frequency, V _m is the type of signal received on it, CS _m is the call sign of the operating REM, T _m is identification type of the RES, mode _m - the mode of operation of the RES at the m-th frequency,

- operating time of the RES;

is the residence time of the RES at one position, d _lj is the mutual distance of the l-th and j-th RES operating in the same radio network, clarification of the location of the detected RES, taking into account the suitability of elementary sections S _i for their deployment, displaying the results obtained in the GIS, determination by the results of the assessment of the EMO of the local REM associations that form the CD of the CP, the refinement of their location, taking into account the suitability of the S _r sections for their deployment, and the local associations of the analyzed objects formed by the set of the CD of the CP of individual parts, connections and associations, registration of the results of the analysis of the EMT in the tenth data array, comparison of the obtained results of the current EMO with its reference models stored in the seventh data array, making a decision on the current operational situation and the probable location of the evaluated objects and their state, when the current estimate of the EMO coincides with the specified accuracy with the description of one of the reference EMO models, registration of the assessment results operational and electromagnet situation in the eleventh data set, the formation on their basis of the twelfth data set with formalized data on the operational and electromagnetic situation in a given area for consumers of information that is presented on an electronic GIS map, continuation of the assessment of the current electromagnetic situation if the threshold conditions are not met, the use of information about objects and their state from the tenth dataset to form the eleventh dataset.

The prototype method provides automated decision making about the operational situation in a given area, composition, state and operation of objects based on structural and statistical analysis and a priori information stored in the database, the results of modeling and analysis of the current electromagnetic environment.

However, the prototype has disadvantages that limit its use. These include:

the database does not take into account the aging of information about the location of radio electronic devices, radio monitoring objects;

the system does not check the materiality of the changes introduced by the incoming vector-implementations of the input stream to the subject area. As a result, a complex algorithm for assessing the operational situation based on the localization of the RES is performed in each cycle;

there is no coordination of the intensity of processing with the intensity of the input stream, the length of the queue, which leads to delays in decision-making.

The aim of the claimed invention is to develop a method for processing the results of radio monitoring, providing an increase in the processing speed of input data by building the required sequence of processing steps based on determining the significance of changes introduced by vector-implementations of the input data stream, timely correction of information stored in the database, taking into account its aging time.

i-го типа, i=1, 2, …, I, фото или радиолокационный снимок Ph_i, формируют третий массив данных с потенциальными сведениями об их пространственно-временных и количественных характеристиках, общей площади заданного района S, площади элементарного участка S_i, удовлетворяющего требованиям по размещению i-го объекта или его элемента, удалению каждого i-го объекта от барьерного рубежа L_i для различных оперативных условий, взаимном расстоянии между i-м и j-м объектами d_ij, формируют четвертый массив данных с параметрами радиоэлектронных средств: Δƒ, V, T_u, mode_λ, τ_сп, τ_ти, где Δƒ - диапазон рабочих частот, V - вид передачи, T_u - тип РЭС, u=1, 2, … U, mode_λ - режим функционирования РЭС, λ=1, 2, …, Λ; τ_сп - среднее время работы РЭС при выходе в эфир, τ_ти - интервал времени пребывания u-го РЭС на одной позиции, пятый массив данных с параметрами узлов связи пунктов управления: количеством n РЭС различных типов T_ип, n=1, 2, …, N, размерами необходимой площади для их развертывания S_r, S_r=n⋅S_i, шестой массив данных с оперативно-тактическими нормативами по размещению УС на местности: удалением УС от соответствующих ПУ d_n и барьерного рубежа L_n, взаимным удалением УС ПУ одного

и различных

уровней управления, временем пребывания УС на одной позиции Т_ти, и седьмой массив данных с Н эталонными описаниями различных вариантов оперативной и соответствующих им вариантов электромагнитной обстановки, а в процессе работы оценивают электромагнитную доступность РЭС объектов РМ, сведения о которой записывают в восьмой массив данных, а с учетом всех восьми массивов базы данных оценивают текущую ЭМО, формируют девятый массив данных с результатами оценки ЭМО в заданном районе с учетом ЭМД РЭС узлов связи ПУ: ƒ_m, t_m, (x,y)_m, V_m, CS_m, T_m, mode_m,

,

, d_lj, где ƒ_m - рабочая частота обнаруженного излучения РЭС, t_m - дата и время обнаружения m-го РЭС, (х,у)_m - координаты РЭС, работающего на m-й частоте, V_m - вид принятого на ней сигнала, CS_m - позывной работающего РЭС, T_m - идентификационный тип РЭС, mode_m - режим функционирования РЭС на m-й частоте,

- время работы РЭС;

- время пребывания РЭС на одной позиции, d_lj - взаимное удаление l-го и j-го РЭС, работающих в одной радиосети, уточняют местоположение обнаруженных РЭС с учетом пригодности элементарных участков S_i к их развертыванию, отображают полученные результаты в геоинформационной системе, по результатам оценки ЭМО определяют локальные объединения РЭС, образующие УС ПУ, уточняют их местоположение с учетом пригодности участков S_r к их развертыванию, и локальные объединения анализируемых объектов, образованные совокупностью УС ПУ отдельных частей, соединений и объединений, а результаты анализа ЭМО записывают в десятый массив данных, сравнивают полученные результаты текущей ЭМО с ее эталонными моделями, хранящимися в седьмом массиве данных, при совпадении с заданной точностью текущей оценки ЭМО с описанием одной из эталонных моделей ЭМО, принимают решение о сложившейся оперативной обстановке и вероятном местоположении оцениваемых объектов и их состоянии, а результаты оценки оперативной и электромагнитной обстановки записывают в одиннадцатый массив данных, на основе которых далее формируют двенадцатый массив данных с формализованными данными об оперативной и электромагнитной обстановке в заданном районе для потребителей информации, которую представляют на электронной карте ГИС, в противном случае при невыполнении пороговых условий продолжают оценку текущей электромагнитной обстановки, а информацию об объектах и их состоянии из десятого массива данных используют для формирования одиннадцатого массива данных, анализ входного потока параметров радиоизлучений осуществляют на основе динамической таксономии путем проверки наличия в девятом массиве данных о предыдущих излучениях этого РЭС, полученных в результате завершенных циклов обработки, при наличии данных, зарегистрированных в пределах времени упреждения смены местоположения объекта РМ, на котором размещено РЭС, обновляют время его регистрации, а дальнейшую обработку полученных данных на основе формирования локальностей РЭС не проводят, сведения о параметрах и времени работы РЭС, подтверждающие факт функционирования объекта РМ, на котором оно размещается, используют для формирования выводов по оценке ЭМО и ОО и записывают в одиннадцатый массив данных.This goal is achieved by the fact that at the preparatory stage, a database is formed as part of the first array with data on the physical and geographical conditions of a given area, computer models of objects are formed and entered into the database in the form of a second data array containing the physical parameters of the object

of the i-th type, i = 1, 2, ..., I, photo or radar image Ph _i , form the third data array with potential information about their spatial-temporal and quantitative characteristics, the total area of a given area S, the area of an elementary section S _i , satisfying the requirements for the placement of the i-th object or its element, the removal of each i-th object from the barrier line L _i for various operational conditions, the mutual distance between the i-th and j-th objects d _ij , form the fourth data array with the parameters of radio electronic means : Δƒ, V, T _u , mode _λ , τ _cn , τ _ty , where Δƒ is the operating frequency range, V is the type of transmission, T _u is the type of RES, u = 1, 2, ... U, mode _λ is the mode of operation of the RES , λ = 1, 2,…, Λ; τ _cn is the average operating time of the RES when it goes on air, τ _ty is the time interval of the u-th RES at one position, the fifth data array with the parameters of the communication nodes of the control points: the number n of RES of different types T _un , n = 1, 2, ..., N, the dimensions of the required area for their deployment S _r , S _r = n⋅S _i , the sixth data array with operational and tactical standards for the deployment of the US on the ground: the distance of the US from the corresponding launchers d _n and the barrier line L _n , mutual distance US PU one

and various

control levels, the time spent by the US at one position T _ty , and the seventh data set with H reference descriptions of various options for the operational and corresponding variants of the electromagnetic environment, and in the process of work, the electromagnetic availability of the radio equipment of the RM objects is evaluated, information about which is recorded in the eighth data set, and taking into account all eight database arrays, the current EMO is estimated, the ninth data array is formed with the results of the EMO assessment in a given area, taking into account the EMD of the RES of the communication nodes of the PU: ƒ _m , t _m , (x, y) _m , V _m , CS _m , T _m , mode _m ,

,

, d _lj , where ƒ _m is the operating frequency of the detected REM radiation, t _m is the date and time of detection of the m-th REM, (x, y) _m are the coordinates of the REM operating at the m-th frequency, V _m is the type of signal, CS _m is the call sign of the operating RES, T _m is the identification type of the RES, mode _m is the mode of operation of the RES at the m-th frequency,

- operating time of the RES;

is the residence time of the RES at one position, d _lj is the mutual distance of the l-th and j-th RES operating in the same radio network, specify the location of the detected RES, taking into account the suitability of elementary sections S _i for their deployment, display the results obtained in the geographic information system, according to the results of the evaluation of the EMO determine the local associations of REMs that form the US of the PU, clarify their location, taking into account the suitability of the sections S _r for their deployment, and the local associations of the analyzed objects formed by the set of the US of the PU of individual parts, connections and associations, and the results of the analysis of the EMO are recorded in the tenth array data, compare the obtained results of the current EMO with its reference models stored in the seventh data set, when the current estimate of the EMO coincides with the specified accuracy with the description of one of the reference EMO models, make a decision on the current operational situation and the probable location of the evaluated objects and their state, and the results of the assessment of operational and electrical magnetic environment is recorded in the eleventh data array, on the basis of which the twelfth data array is further formed with formalized data on the operational and electromagnetic situation in a given area for consumers of information that is presented on an electronic GIS map, otherwise, if the threshold conditions are not met, the assessment of the current electromagnetic situation is continued , and information about objects and their state from the tenth data array is used to form the eleventh data array, the analysis of the input stream of radio emission parameters is carried out on the basis of dynamic taxonomy by checking for the presence in the ninth array of data on previous emissions of this RES, obtained as a result of completed processing cycles, when the presence of data registered within the time of anticipating the change of the location of the RM object on which the RES is located, the time of its registration is updated, and further processing of the received data based on the formation of the localities of the RES is not carry out, information about the parameters and operating time of the RES, confirming the fact of the functioning of the RM object on which it is located, is used to form conclusions on the assessment of the EMO and OO and are recorded in the eleventh data array.

At the same time, at the preparatory stage for the formation of the first data array, a geospatial model of a given area of the terrain is built, taking into account its tactical properties, which makes it possible to determine the suitability of elementary sections of the area for radio monitoring objects with various requirements for placement.

Due to the new set of essential features in the claimed method, by taking into account the results of previous processing cycles, the aging time of information and making a decision on their basis on the advisability of performing a complete set of procedures for analyzing the received data, it becomes possible to increase the processing speed of the input data stream without imposing restrictions on its reliability and completeness ...

The claimed method is illustrated by drawings, which show:

in fig. 1 - generalized algorithm for processing the results of radio monitoring;

figure 2 is a three-dimensional matrix geospatial model of a given area;

in fig. 3 - an algorithm for forming a three-dimensional matrix geospatial model;

in fig. 4 is a generalized diagram of an algorithm for "trace" information processing;

in fig. 5 - the emergence of a new taxon as a sign of the significance of the event;

in fig. 6 - an example of filling:

a) matrix of sources of radio emission M ₁ ;

b) matrix of sources of РМ М ₂ ;

c) matrices of objects RM M ₃ ;

in fig. 7 - "mosaic" scheme for accumulating radio monitoring data;

in fig. 8 - the results of evaluating the effectiveness of the proposed method;

in fig. 9 is a generalized block diagram of a device for processing the results of radio monitoring.

Analysis of trends in the use of telecommunications in the world indicates an exponential growth in their number in all areas of human activity. As a result, the modern conditions for RM maintenance are characterized by congestion in the frequency range, a decrease in the semantic accessibility to the emissions of controlled RES. The most informative against this background are structural and statistical features, and their processing involves the maximum use of automation tools.

Operational (current) processing of RM information, which implies real-time solution of the tasks of opening radio monitoring objects, is still based on the intellectual activity of officials of information and analytical bodies. There are severe restrictions on the time of data submission, caused primarily by the rapid aging of information about the location of objects, and the effectiveness of the RM is determined by the number of objects opened during processing per unit of time. Currently, there are several approaches to solving this problem. However, they do not sufficiently elaborate on the formation and use of information and reference support for solving processing problems, building a sequence of procedures for processing incoming information, issues of opening the TOE by structural and statistical signs, etc., require further elaboration. The authors propose a modified method of "route" processing of RM results, which assumes the combination and automatic determination of the sequence of processing procedures directly as you go through the processing steps (see Fig. 4). The main advantage of this approach is a significant reduction in the length of the chain of procedures for processing input implementations by eliminating from it procedures that are not required for the current vector-implementation of features, which reduces the time spent on information processing. This result is achieved by introducing at the end of each processing stage a block for making a decision about the need to proceed to the next stage (block 4, Fig. 4).

In the proposed method for solving the problem at the preparatory stage, the following operations are performed (see Fig. 1). Form the first array of database on the physical and geographical conditions of a given area, affecting the tactical properties of the terrain (see Military topography / A.A. Psarev, A.N. Kovalenko, AM Kuprin. - M .: Voenizdat, 1986. - 386 from.). In the prototype, it is proposed to divide the estimated area into elementary sections, for each of which the values of its properties are calculated with respect to the subject under consideration - a vehicle (when assessing cross-country ability), a specific control point with its areal, structural characteristics (when assessing protective properties), a specific radio station and antenna-feeder system (when assessing the possibility of establishing radio communication), etc. This approach implies an assessment of the tactical properties of the terrain only in relation to the object under consideration. However, for the case of a large number of different types of RM objects, it is assumed that the characteristics and properties of the same elementary terrain areas are repeatedly calculated. Therefore, to assess the tactical properties of the terrain, it is proposed to use a three-dimensional matrix of the geospatial terrain model (see Fig. 2). The matrix C _ijk is a mathematical structure for placing the results of calculating the characteristics of elementary terrain areas, which are used later in the assessment of tactical properties. The indices (i, j) determine the place of the elementary section in the estimated area, and the index k corresponds to the layers of the matrix in which the values of specific characteristics of the elementary section are located. The procedure for calculating the characteristics of elementary sections is given in Appendix 1.

The order of forming the matrix C _ijk is shown in Fig. 3. It consists in sequential traversal of elementary sections of a given area of the terrain, calculating the values of various properties of these sections and writing them into the elements of the corresponding layers of the matrix C _ijk .

i-го типа, i=1, 2, …, I, фото или радиолокационный снимок

(см. фиг. 2 описания прототипа).Computer models of military equipment objects are formed and information is entered in the form of a second data array. The latter contain the physical parameters of objects

i-type, i = 1, 2, ..., I, photo or radar image

(see Fig. 2 for a description of the prototype).

Next, a third data array is formed with potential data of the spatio-temporal and quantitative characteristics of military equipment objects. In addition, information about the total area of a given area S is entered into the third data array, the results of a preliminary analysis for the suitability of a set of elementary sections with an area of S _i for deploying various objects or their elements (based on the analysis of data from the first array), removal of each i-th object from the barrier line L _i for various operating conditions, mutual distance between the i-th and j-th objects d _ij , etc. At the option of the operator, the necessary data about the objects are displayed in the form of a tabular and / or graphical presentation.

A fourth data array is formed with the RES parameters: the range of operating frequencies ΔF, the type of transmission V _l , l = 1, 2, ..., L, the type of RES T _u , u = 1, 2, ..., U, the operation mode of the RES mode _λ , λ = 1, 2,…, Λ, the average operating time of the RES when it goes on the air τ _cn , the time interval of the stay of the n-th RES at one position τ _ty . If necessary, this array can be expanded with other technical and operational parameters of the RES.

After that, the formation of the fifth data array with the parameters of communication nodes of control points of various levels is started. These include the number n of RES of various types T _un , n = 1, 2, ..., N, the size of the required site for their deployment S _r .

и различных

уровней управления, времени пребывания УС на одной позиции Т_ти.The sixth array of the database is intended for storing information on operational-tactical standards and spatial and temporal characteristics for the placement of the control unit on the terrain: the distance between the control unit and the corresponding control unit d _n and the barrier line L _n , the mutual distance between the control unit control unit of one

and various

control levels, time spent by the US at one position T _ti .

The preparatory stage ends with the formation of an array of data with reference descriptions of various options for the operational situation (an offensive in the center or on one of the flanks of a given area, defense, etc.). This takes into account both the standard set of forces and means, and those present in the given area. Next, the appropriate set of radio equipment for this grouping of objects is determined, the procedure for organizing radio communication between its elements, taking into account the technical characteristics of the RES. As a result, standard EMO descriptions are obtained for all variants of the development of the operational environment. In the future, the adequacy of the decisions made also depends on the quality of the description of the reference models of the operational and EMO.

At the next stage, after specifying as comprehensive a priori information about objects as possible, they start the operational and EMO analysis mode, assess the EMD of the electronic equipment located in the given area. The latter indirectly characterizes not only the achievable quality of the EMO assessment, but also the optimality of the spatial arrangement of the meters. Therefore, at this stage, it is possible to correct the location of some meters in order to improve the EMD of RM objects. The results of the EMD assessment are recorded in the eighth data set and, at the request of the operator, are presented on the monitor screen against the background of a digital GIS map.

The proposed method for processing the results of RM is based on the application of the DINA dynamic taxonomy algorithm, the essence of which is as follows (see Zagoruiko N.G. Applied methods of data and knowledge analysis. Novosibirsk: Publishing house of IM SB RAS, 1999. - P. 45-46 ). At the initial stage, the set of points in n-dimensional space that characterize the received vector-realizations of the n analyzed features is empty. Therefore, taxonomy is carried out on points that arise one by one or in small groups. The radius of the hypersphere is set R and the first point that appears is declared the center of the first taxon. When each subsequent point appears, it is checked whether it falls into one of the existing taxa by comparing the distance from the point to the centers of the taxa. If there is such a distance less than R, then the new point is included in the composition of the corresponding taxon, and its center of gravity is recalculated. Otherwise, it is declared the center of the new taxon.

This approach for determining the significance of changes made to the subject area by the processed implementation of features using the example of a two-dimensional feature space, n = 2, is shown in Fig. 5. For each node, the decision D _j is constructed separate taxonomy T _j with their points corresponding to the key values of the rows of the matrix M _j, its radius R _j. A feature of the dynamic taxonomy algorithm is that when a new point is added, the entire set of points is not re-partitioned into taxa, but either the taxon with the nearest center of gravity or a new taxon is used. It is noted that the main significant event requiring a change in the matrices of a higher level M _{j + 1} is the emergence of a new source of radio emission, a radio network, an RM object. Therefore, in terms of the proposed taxonomy method, the significance of changing the description of the subject area at each stage of processing corresponds to the situation of the appearance of a new taxon in the taxonomy T _j (point A in Fig. 5, n = 2).

In the course of work, to evaluate the current EMO (based on the DINA algorithm), it is proposed to use "trace" data processing (see Fig. 7). The latter assumes the following processing "path": a radio emission source - a radio network - an object of radio monitoring - the state and activity of an RM object - an assessment of the EMO - obtaining conclusions from RM data.

The first stage consists in processing the input information stream I _in , which is a set of parameters of radio emissions from various RM facilities. A universal formalized vector of parameters I _in from the m-th RES is formed:

- время пребывания m-го РЭС на одной позиции,

- среднее время работы m-го РЭС при выходе в эфир, d_ij - взаимное удаление i-го и j-го РЭС, функционирующих в одной радиосети. Последний может быть расширен в зависимости от сложившейся ЭМО и возможностей измерителей. В предлагаемом способе не рассматриваются объекты и их РЭС, находящиеся в воздухе. Так же исключены из рассмотрения параметры сигналов радиотехнических средств.where ƒ _m is the operating frequency of the m-th RES, t _m is the time the m-th RES is broadcast, (x, y) _m are the coordinates of the m-th RES, V _m is the type of transmission of the m-th RES, CS _m is its callsign, T _m - type of RES, mode _m - mode of operation of the m-th RES,

- time of stay of the m-th RES at one position,

is the average operating time of the m-th RES when it goes on air, d _ij is the mutual distance of the i-th and j-th RES operating in the same radio network. The latter can be expanded depending on the existing EMO and the capabilities of the meters. The proposed method does not consider objects and their RES in the air. The parameters of signals of radio-technical equipment are also excluded from consideration.

The probability of simultaneous filling of all elements of the vector of parameters of the detected RES is insignificant. Some of its elements may remain zero.

Upon completion of the initialization of the data on the location of the RES against the background of an electronic GIS map and processing the parameters of radio signals, the obtained results are entered into the ninth array of the database and displayed on the electronic GIS map. On the basis of the data obtained in the array 9 about the current EMO and a priori data on objects (arrays 2-7) EMD RES (array 8) begin to analyze the operational situation in a given area. For this, the mutual distances of the RES are determined. It is advisable to do this using an expression for the generalized Euclidean distance.

образуют матрицу

(см. фиг. 6а).The minimal representation of the vector-realization of features (1) should be a triad: time t _m - operating frequency ƒ _m - coordinates of the RES (x, y) _m . They are basic, without them processing is not carried out. Incoming vectors of parameters

form a matrix

(see Fig. 6a).

On the basis of the matrix M ₁ constructed taxonomy T ₁ for a decision on continuation of treatment. Figure 6a shows an example of dividing the set of strings M ₁ into taxa according to the parameters (ƒ, x, y), which ensure the identification of the fact of the appearance of a new source of radio emission.

The results of performing the procedures for recognizing the operational-tactical purpose of radio networks and radio directions at the second stage of processing form a matrix M ₂ . Changes made to the content of the rows of this matrix also have different significance. Therefore, in order to determine the need to move to the third stage, a dynamic taxonomy of PM sources is carried out. As essential features in the case of FIG. 6b example, the values of the operating frequency ƒ and the type of transmission V.

Despite the fact that the areal characteristics of objects at different levels of the management hierarchy differ significantly, to identify events that indicate changes in the situation (the appearance of new objects, the movement of objects), when constructing a dynamic taxonomy of the third stage, it is necessary to use the minimum radius of the hypersphere (see Fig.6c) ...

Thus, the presented materials and the considered examples testify to the rationality of using the method of dynamic taxonomy as the basis for constructing decisive functions in the formation of the "trace" of the current processing of the results of radio monitoring. The studies performed show that the sensitivity of the proposed method directly depends on the informativeness of the selected key features, the measurements in which the taxonomy is constructed, as well as the radius R of the hypersphere.

Next, the number of RES taxa in a given area U _k is determined, as well as their mutual distances, which makes it possible to form preliminary conclusions about the operational situation. Within each taxon, the average value of the communication distance is determined in accordance with the expressions:

where n is the number of RES in the radio network, d _cw is the communication distance between one of the correspondents of the network with coordinates (x _pc , y _pc ) and the main RES with coordinates (x _ch , y _ch ).

Для этого находят минимальное удаление объектов (РЭС) от прямых отрезков ломаной линии, которыми интерпретируется барьерный рубеж. Полученные результаты используют для формирования десятого массива базы данных. Дополнительно в этот массив поступают сведения о ЭМО из девятого массива и проанализированные характеристики рельефа местности заданного района из первого массива данных. Для последующей обработки используют параметры барьерного рубежа, сведения о местоположении РЭС и объектов, пространственные характеристики (удаление РЭС и объектов от барьерного рубежа, взаимное удаление РЭС и объектов, и т.д.)In addition, it is of interest to remove each RES taxon from the barrier

To do this, find the minimum distance of objects (RES) from straight segments of the broken line, which interprets the barrier boundary. The results obtained are used to form the tenth database array. Additionally, this array receives information about EMO from the ninth array and the analyzed characteristics of the terrain of a given area from the first data array. For subsequent processing, the parameters of the barrier line, information about the location of the RES and objects, spatial characteristics (removal of the RES and objects from the barrier line, mutual removal of the RES and objects, etc.) are used.

The totality of the information obtained about the operational and EMO is compared with their reference descriptions stored in the seventh data set. With a sufficient degree of coincidence of the obtained results with one of the reference descriptions, a decision is made in its favor, which is recorded in the eleventh array of the database along with the obtained analysis results.

On the basis of the contents of the eleventh array, the twelfth data array is formed with formalized data on the operational and electromagnetic environment in a given area for consumers of information that is presented on an electronic GIS map. The form of presentation of the analysis results, as a rule, is determined by the information customer. The latter contain information about the EMO, the composition, state and activity of RM facilities, the operational situation in a given area.

Otherwise, if the threshold conditions for the identity of the obtained estimates are not met, one of the reference models of the array 7 continues to analyze the current EMO, and on its basis the operational situation.

To assess the effectiveness of the proposed method (see Appendix 2), an experiment was carried out, during which it was determined the reduction in the time spent on processing input vector-realizations in comparison with the prototype method (see Fig. 8). Here, the time spent on processing input stream vector realizations is expressed in the number of procedures for their processing. From a consideration of FIG. 8 it follows that the use of the proposed method can reduce time costs by 32%.

The proposed method for processing the results of radio monitoring can be implemented using the device shown in Fig. 9. The device contains an information input unit 1, an indication unit 2, the first input bus of the device 3, a static information storage module 4 consisting of eight memory blocks 4.1-4.8, a block for calculating electromagnetic availability 5, a block for storing dynamic information 6, a block for assessing the current electromagnetic situation 7, block for localization of radio electronic means 8, block for assessing the operational situation 9, decision block 10, information conversion block 11, second input bus of device 12 and output bus 13.

At the preparatory stage, using the information input unit 1, all a priori information is entered into the static information storage module 4. The latter is placed in the corresponding memory blocks 4.1-4.7 (arrays 1-7, respectively).

All entered data, if necessary, at the command of unit 1, are reflected on the screen of indication unit 2.

At the initial stage of work, using the EMD calculation unit 5, the boundaries of the availability of radio electronic emissions of various frequency ranges to all meters are determined. Data on the latter (location coordinates, peculiarities of their geographical location, operating frequency range, etc.) are sent to the group of information inputs of block 5 from the group of information outputs of block 1.

At this stage, it is possible to optimize (clarify) the location of the meters relative to a given area of the RM. The results of the EMD assessment are recorded in the memory block 4.8 of the static information storage module 4.

об ЭМО по входной шине 3 поступает на группу информационных входов блока хранения динамической информации 6. Блок 6 представляет собой буферное запоминающее устройство. Информация об очередном m-м излучении в виде вектора параметров (ƒ_m, t_m, (х,у)_m, V_m, CS_m, T_m, mode_m,

,

, d_ij) с группы информационных выходов блока 6 поступает на первую группу информационных входов блока оценки текущей ЭМО 7. На вторую группу его информационных входов поступают сведения о параметрах РЭС с группы информационных выходов блока памяти 4.4. На третью группу информационных входов поступают цифровые модели местности с группы информационных выходов блока 4.1.During operation, the input information flow

about EMO through the input bus 3 is fed to the group of information inputs of the block for storing dynamic information 6. Block 6 is a buffer memory. Information about the next m-th radiation in the form of a vector of parameters (ƒ _m , t _m , (x, y) _m , V _m , CS _m , T _m , mode _m ,

,

, d _ij ) from the group of information outputs of block 6 is fed to the first group of information inputs of the evaluation unit of the current EMO 7. The second group of its information inputs receives information about the parameters of the RES from the group of information outputs of the memory block 4.4. The third group of information inputs receives digital terrain models from the group of information outputs of block 4.1.

In block 7, the analysis of the received data is carried out: determining the type of the m-th RES, clarifying its location on the ground, calculating the communication distance d _{ij of the} RES operating in the same radio network, forming preliminary conclusions about the belonging of the RES to the control system US. At the command of block 1, the results of the analysis of block 7 are displayed on the screen of block 2 against the background of a digital GIS map.

The information received in block 7 from the group of information outputs goes to the first group of information inputs of the RES localization unit 8. The second group of its information inputs receives a priori information about the characteristics of RM objects (US CP) from the group of information outputs of the memory unit 4.5. The third group of information inputs of block 8 receives operational and tactical standards for the placement of RM objects on the ground from the group of information outputs of block 4.6. The fourth group of inputs of block 8 receives the value of the radius of the hypersphere R. The function of block 8 includes the localization (unification) of RES into groups (taxa).

The results of the analysis (generated RES taxa) together with a digital GIS map from the group of information outputs of block 8 are fed to the first group of information inputs of the operational situation assessment unit 9. The second group of its information inputs receives the values of the reference descriptions of the operational and electromagnetic environment for typical operational situations from the group information outputs of the block 4.7. The third group of information inputs receives information about the EMD of the RES from the group of information outputs of block 4.8. The fourth group of information inputs of block 9 receives object models from the group of information outputs of block 4.2. The fifth group of information inputs is supplied with the spatial and temporal characteristics of objects from the group of information outputs of block 4.3.

The functions of block 9 include "trace" processing of the data obtained in block 8, a comparative analysis of the reference descriptions of the operational and EMO with a real dynamically changing operational and REO, taking into account the EMD of the RES radiation and the choice of the closest reference description.

The selected closest reference description of the operational and EMO together with their current value from the group of information outputs of block 9 are fed to the group of information inputs of the decision block 10. Here, the degree of difference of the reference description OO and EMO from their current values is estimated. In the case of minimal differences not exceeding a predetermined threshold, block 10 makes a decision in favor of the selected reference description OO and EMO. In turn, this reference description characterizes the composition, state and activity of a group of objects in a given area.

From the first group of information outputs of unit 10, the received information is fed to the group of information inputs of the information conversion unit 11. The latter is designed to convert the received information to the form specified by the information consumer. It is delivered to the customer via the output bus 12. Otherwise, when the threshold conditions in block 10 are not met, there is no information at its output, and the device continues to analyze the electromagnetic and operational environment.

Thus, the given device allows to implement the claimed method without significant technical problems.

Attachment 1

The procedure for calculating the characteristics of elementary sections

For k = 1:

1. Calculation of the coordinates of the corner points of the elementary section (i, j) by the formulas:

(x ₁ , y ₁ ) = (x ₀ + (i-1) ⋅L, y ₀ - (j-1) ⋅L);

(x ₂ , y ₂ ) = (x ₀ + i⋅L, y ₀ - (j-1) ⋅L);

(x ₃ , y ₃ ) = (x ₀ + i⋅L, y ₀ - j⋅L);

(x ₄ , y ₄ ) = (x ₀ + (i-1) ⋅L, y ₀ - j⋅L);

where (x ₀ , y ₀ ) - coordinates of the north-western corner of the selected area of the terrain map, L - length of the side of an elementary site (m);

2. Measurement of the absolute heights of the corner points h ₁ , h ₂ , h ₃ , h ₄ ;

3. Calculation of the angles of inclination of the slopes between the corner points of the elementary section (i, j) by the formulas:

α ₁ = | arctan ((h ₁ - h ₂ ) / L) ⋅180 / π |;

α ₂ = | arctan ((h ₂ - h ₃ ) / L) ⋅180 / π |;

α ₃ = | arctan ((h ₃ - h ₄ ) / L) ⋅180 / π |;

α ₄ = | arctan ((h ₄ - h ₁ ) / L) ⋅180 / π |;

α ₅ = | arctan ((h ₁ - h ₃ ) / L⋅2 ^0.5 ) ⋅180 / π |;

α ₆ = | arctan ((h ₂ - h ₄ ) / L⋅2 ^0.5 ) ⋅180 / π |;

4. In the cell (i, j) of the matrix C _ijk, write the maximum value of the slope angle of the slope calculated at step 3.

Appendix 2

Evaluation of the effectiveness of the proposed method

To check the achieved positive effect from the application of the proposed method for processing the results of radio monitoring, an experiment was carried out using a simulation model developed in the AnyLogic environment based on the agent-based approach. The model contained agents of two classes: "Object of radio monitoring" and "RES".

The functioning of 142 radio monitoring objects was simulated, at the communication centers of which a total of 221 radio electronic means were used. During the day, 60986 vector-implementations were received for processing. In accordance with the operational-tactical standards for the frequency of movements of radio monitoring objects (see RF Pat. No. 2659486, Fig. 5), 668 changes of location were carried out by the RM objects. In accordance with the logic of the algorithm in the claimed method, significant changes in the situation include the events of the first detection of an object, as well as the establishment of the fact of its change of location, leading to the appearance of new taxa in the dynamic taxonomy (see Tables 1 and 2). Therefore, during the day, on average, a full processing cycle was required for only one of the 68 vector-implementations of the input stream. This made it possible to increase the processing speed of the input stream by 32% (see Fig. 8) and to ensure sufficient completeness of its processing.

Claims (2)

1. A method for processing the results of radio monitoring (RM), which consists in the fact that at the preparatory stage a database is formed as part of the first array with data on the physical and geographical conditions of a given area, computer models of objects are formed and entered into the database in the form of a second data array containing the physical parameters of the object

of the i-th type, i = 1, 2, ..., I, photo or radar image Ph _i , form the third data array with potential information about their spatial-temporal and quantitative characteristics, the total area of a given area S, the area of an elementary section S _i , satisfying the requirements for the placement of the i-th object or its element, the removal of each i-th object from the barrier line L _i for various operational conditions, the mutual distance between the i-th and j-th objects d _ij , form the fourth data array with the parameters of radio electronic means (RES): Δƒ, V, T _u , mode _λ , τ _cn , τ _ty , where Δƒ is the operating frequency range, V is the type of transmission, T _u is the type of radio or radio equipment, u = 1, 2, ... U, mode _λ - the mode of functioning of the RES, λ = 1, 2,…, Λ; τ _cn is the average operating time of the RES when it goes on air, τ _ty is the time interval for the u-th RES at one position, the fifth data array with the parameters of the communication nodes (CS) of the control points (CP): the number n RES of various types T _un , n = 1, 2, ..., N, the dimensions of the required area for their deployment S _r , S _r = n⋅S _i , the sixth data array with operational and tactical standards for the deployment of the US on the ground: the distance of the US from the corresponding launchers d _n and the barrier boundary L _n , mutual removal of the control unit of the PU of one

and various

control levels, the time spent by the US at one position T _ty , and the seventh data array with H reference descriptions of various options for the operational and corresponding options for the electromagnetic environment (EMO), and in the process of operation, the electromagnetic availability (EMD) of the electronic equipment of the RM objects is evaluated, information about which are written into the eighth data array, and taking into account all eight database arrays, the current EMO is estimated, the ninth data array is formed with the results of the EMO assessment in a given area, taking into account the EMD of the RES communication nodes of the PU: ƒ _m , t _m , (x, y) _m , V _m , CS _m , T _m , mode _m ,

,

, d _lj , where ƒ _m is the operating frequency of the detected REM radiation, t _m is the date and time of detection of the m-th REM, (x, y) _m are the coordinates of the REM operating at the m-th frequency, V _m is the type of signal, CS _m is the call sign of the operating RES, T _m is the identification type of the RES, mode _m is the mode of operation of the RES at the m-th frequency,

- operating time of the RES;

is the residence time of the RES at one position, d _lj is the mutual distance of the l-th and j-th RES operating in the same radio network, specify the location of the detected RES, taking into account the suitability of elementary sections S _i for their deployment, display the results obtained in the geographic information system (GIS ), according to the results of the assessment of the EMO, local associations of REMs that form the US of the PU are determined, their location is specified, taking into account the suitability of the sections S _r for their deployment, and the local associations of the analyzed objects formed by the set of the US of the PU of individual parts, connections and associations, and the results of the analysis of the EMO are recorded into the tenth data array, the results obtained from the current EMO are compared with its reference models stored in the seventh data array, when the current estimate of the EMO coincides with the specified accuracy with the description of one of the reference EMO models, a decision is made about the current operational situation (OO) and the probable location of the evaluated objects and their condition, and the results of the assessment of the operational and the electromagnetic environment is recorded in the eleventh data array, on the basis of which the twelfth data array is further formed with formalized data on the operational and electromagnetic environment in a given area for consumers of information that is presented on an electronic GIS map, otherwise, if the threshold conditions are not met, the assessment of the current electromagnetic situation, and information about objects and their state from the tenth data array is used to form the eleventh data array, characterized in that the analysis of the input stream of radio emission parameters is carried out on the basis of dynamic taxonomy by checking for the presence in the ninth array of data on previous emissions of this RES, obtained as a result completed processing cycles, in the presence of data registered within the time ahead of the change in the location of the RM object on which the RES is located, update the time of its registration, and further processing of the received data based on f The formation of the localities of the RES is not carried out, information on the parameters and operating time of the RES, confirming the fact of the functioning of the RM object on which it is located, is used to form conclusions on the assessment of the EMO and the operational situation and is recorded in the eleventh data array. 2. The method according to claim 1, characterized in that at the preparatory stage for the formation of the first data array, a geospatial model of a given area of the terrain is built, taking into account its tactical properties, allowing to determine the suitability of elementary areas of the area for radio monitoring objects with different placement requirements.

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