[go: up one dir, main page]

CN111812424B - Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment - Google Patents

Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment Download PDF

Info

Publication number
CN111812424B
CN111812424B CN202010381637.5A CN202010381637A CN111812424B CN 111812424 B CN111812424 B CN 111812424B CN 202010381637 A CN202010381637 A CN 202010381637A CN 111812424 B CN111812424 B CN 111812424B
Authority
CN
China
Prior art keywords
threat
subsystem
index
environment
electromagnetic environment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010381637.5A
Other languages
Chinese (zh)
Other versions
CN111812424A (en
Inventor
吴若无
冯润明
汪亚
许雄
韩慧
陈翔
邰宁
胡明明
冯蕴天
刘志鹏
申绪涧
曾勇虎
汪连栋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
UNIT 63892 OF PLA
Original Assignee
UNIT 63892 OF PLA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by UNIT 63892 OF PLA filed Critical UNIT 63892 OF PLA
Priority to CN202010381637.5A priority Critical patent/CN111812424B/en
Publication of CN111812424A publication Critical patent/CN111812424A/en
Application granted granted Critical
Publication of CN111812424B publication Critical patent/CN111812424B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/001—Measuring interference from external sources to, or emission from, the device under test, e.g. EMC, EMI, EMP or ESD testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Data Mining & Analysis (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Electromagnetism (AREA)
  • General Business, Economics & Management (AREA)
  • Algebra (AREA)
  • Game Theory and Decision Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention belongs to the field of electromagnetic environment effect evaluation of an electronic information system, and discloses a comprehensive capability evaluation method under a system-wide threat electromagnetic environment, which comprises the steps of determining the number and the capability of radiation sources required by the threat electromagnetic environment by combining a specific threat electromagnetic environment, and setting a corresponding scenario; correspondingly setting a planned script, and leaving index parameters which are influenced by the threat electromagnetic environment and have large changes; carrying out an experiment by using a semi-physical simulation system; judging whether the number of the experimental samples meets the requirement or not; calculating indexes such as probability class, error class and precision class obtained by calculation, and calculating a comprehensive capability index of the equipment subsystem under the threat electromagnetic environment; calculating a comprehensive capacity index of the equipment in the whole system threat environment; and checking the result and ending. The method solves the problem of comprehensive capability evaluation of the whole equipment system in the threat environment, is scientific and strong in practicability, provides a quantitative calculation method for threat judgment and finger control decision in the threat electromagnetic environment, and can effectively improve the speed and accuracy of the finger control decision.

Description

Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment
Technical Field
The invention belongs to the field of evaluation of electromagnetic environment effects of electronic information systems, and relates to a comprehensive capability evaluation method under an equipment whole-system threat electromagnetic environment, which is suitable for analysis and evaluation of comprehensive capability under an equipment whole-system complex electromagnetic environment.
Background
Aiming at the threat electromagnetic environment influence generated by the action of electromagnetic spectrum in a new period, a quantitative evaluation method of the comprehensive capability of the whole equipment system in the equipment threat environment is developed under the complex and changeable electromagnetic environment, the evaluation of the efficiency of the affected frequency-used equipment is the core of the current research, the whole equipment system is composed of a plurality of subsystems together, the evaluation of the comprehensive capability of the equipment system is generally limited by the factors of different development units, lack of test means, difficulty in constructing the comprehensive test environment and the like, the evaluation of the comprehensive capability of the whole equipment system mostly stays on the level of simple association evaluation of a single system or the subsystems, and the lack of the evaluation method of the related comprehensive capability under the condition of considering the input of the uniform environment and the conduction relationship between the systems.
At present, standard specified evaluation methods and criteria such as GJB 6093-2007, GJB 4431-2002, GJB 6093-2007, GJB 793A-2009, GJB 2761-96 and GJB 8271.2-2015 are all focused on the research on a certain performance index, a performance test, an interference test and an evaluation method of a certain information link, even if the performance or anti-interference performance of the whole system is evaluated, the performance or anti-interference performance of the whole system is split into a single performance or link index, the performance or link index is partially researched, and an evaluation method related to fusion evaluation of each link index in the whole system is not provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a comprehensive capability evaluation method under the electromagnetic environment with equipment full system threat.
In order to achieve the purpose, the invention adopts the following technical scheme:
a comprehensive capability assessment method under the equipment whole system threat electromagnetic environment comprises the following steps:
setting a scenario, and constructing threat electromagnetic environment input, wherein the environment comprises 1/set of tested equipment, N radars and M interference machines; establishing a threat electromagnetic environment equipment parameter deployment table and an environment deployment table, wherein index parameters comprise frequency, pulse width, repetition period, signal type, equivalent radiation power and the number of radar/communication jammers;
step two, setting an environment correspondingly, eliminating inherent attribute parameters which are slightly influenced by the environment from basic parameters of each subsystem of the equipment, and reserving index parameters which are greatly influenced by the environment and are changed and adjusted; dividing index parameters which are susceptible to change into four categories of probability, error, precision and state;
thirdly, setting the experiment times according to the set script by using a semi-physical simulation system to repeatedly carry out the experiment and obtain an experiment sample;
calculating indexes of probability, error, precision and state;
a) Calculating probability class indexes of each subsystem in threat electromagnetic environment
Figure BDA0002482341610000021
Wherein i =1, \8230, N is the number of equipment subsystems,
Figure BDA0002482341610000022
Figure BDA0002482341610000023
Figure BDA0002482341610000024
representing the number of probability indexes of the subsystem i;
Figure BDA0002482341610000025
in the formula: n is the number of experiments;
Figure BDA0002482341610000026
-the kth experimental value of the j probability class index of the subsystem i in the threat environment;
Figure BDA0002482341610000027
b) Calculating error indexes of various subsystems in threat electromagnetic environment
Figure BDA0002482341610000028
Wherein i =1, \8230, N is the number of equipment subsystems,
Figure BDA0002482341610000029
Figure BDA00024823416100000210
representing the number of error indexes of the subsystem i;
Figure BDA00024823416100000211
in the formula:
Figure BDA00024823416100000212
the error mean value of a plurality of experiments of the jth error index of the subsystem i under the non-interference condition;
Figure BDA00024823416100000213
the error value of the kth experiment is an index of the jth error class of the subsystem i in the threat electromagnetic environment;
Figure BDA00024823416100000214
the j th error class index n times of experimental error deviation value of the subsystem i under the threat electromagnetic environment;
Figure BDA00024823416100000215
Figure BDA00024823416100000216
the actual measurement value of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the threat environment is shown, wherein
Figure BDA00024823416100000217
The number of measured values of the kth experiment of the corresponding parameter of the jth error index of the subsystem i in the threat environment,
Figure BDA0002482341610000031
measuring time of a kth test of parameters corresponding to a jth error index of a subsystem i in a threat environment, wherein delta T is a sampling interval;
Figure BDA0002482341610000032
the j error index of the subsystem i corresponds to a parameter set value in the non-interference environment;
Figure BDA0002482341610000033
in the formula:
Figure BDA0002482341610000034
the actual measurement value of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the interference-free environment is obtained, wherein
Figure BDA0002482341610000035
The number of measured values of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the interference-free environment is measured;
c) Calculating accuracy class indexes of all subsystems under threat electromagnetic environment
Figure BDA0002482341610000036
N is the number of equipment subsystems,
Figure BDA0002482341610000037
Figure BDA0002482341610000038
representing the number of precision indexes of the subsystem i;
Figure BDA0002482341610000039
in the formula: delta sigmaij= -the j precision index set value of the subsystem i under the condition of no interference;
Figure BDA00024823416100000310
-is the measured value of the kth experiment of the jth precision class index of the subsystem i in the threat electromagnetic environment;
Figure BDA00024823416100000311
the precision deviation value of the j precision index n times of the subsystem i in the threat electromagnetic environment;
Figure BDA00024823416100000312
Figure BDA00024823416100000313
the actual measurement value of the parameter corresponding to the jth precision class index of the subsystem i in the threat environment is shown in the k experiment
Figure BDA00024823416100000314
The number of the measured values of the kth experiment of the corresponding parameters of the jth precision index of the subsystem i in the threat environment,
Figure BDA00024823416100000315
measuring time of a kth test of parameters corresponding to a jth precision index of a subsystem i in a threat environment, wherein delta T is a sampling interval;
Figure BDA00024823416100000316
the j precision index of the subsystem i corresponds to a parameter set value in the non-interference environment;
d) Calculating the state index of each subsystem in the threatening electromagnetic environment
Figure BDA00024823416100000317
N is the number of equipment subsystems,
Figure BDA00024823416100000318
Figure BDA00024823416100000319
representing the number of state class indexes of the subsystem i;
Figure BDA00024823416100000320
step five, calculating index weights of all the subsystems under the threat electromagnetic environment
Figure BDA0002482341610000041
i =1, \ 8230, N, N is the number of equipment subsystems,
Figure BDA0002482341610000042
Figure BDA0002482341610000043
representing the number of the index weights of the subsystem i, calculating pairwise comparison values of all indexes of the subsystem by adopting 1-9 scales, establishing a weight judgment matrix, and calculating a matrix characteristic vector to obtain the weight value of each evaluation index;
step six, calculating comprehensive capability index K of each subsystem in threat electromagnetic environmentiI =1, \ 8230, N is the number of equipment subsystems;
Figure BDA0002482341610000044
step seven, calculating the comprehensive capability index K of the whole system under the threat electromagnetic environmentc；
Figure BDA0002482341610000045
In the formula: gamma-is a weight adjustment coefficient,
Figure BDA0002482341610000046
is the inter-system conduction success rate of subsystem i;
and step eight, checking the result, and ending.
Due to the adoption of the technical scheme, the invention has the following advantages:
the method makes up the defects of the existing equipment whole-system evaluation method, solves the evaluation problem of the comprehensive capability of the equipment whole-system threat electromagnetic environment, supports the analysis and evaluation of the comprehensive capability of the equipment whole-system threat electromagnetic environment, has strong science and practicability, provides a quantitative calculation method for threat judgment and finger control decision making in the threat electromagnetic environment, and can effectively improve the speed and accuracy of the finger control decision making.
Drawings
FIG. 1 is a flow chart of equipment system-wide comprehensive capability assessment in a threat environment.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a method for evaluating the comprehensive capability of a whole system of equipment in a threat environment specifically implements the following steps:
step one, setting a scenario and constructing threat electromagnetic environment input, wherein the environment comprises 1/set of tested equipment, N radars and M interference machines; establishing a threat electromagnetic environment equipment parameter deployment table and an environment deployment table, wherein the index parameter package comprises frequency, pulse width, repetition period, signal type, equivalent radiation power, the number of radar/communication jammers, signal type and the like, the environment equipment parameter deployment table is shown in table 1, and the environment deployment table is shown in table 2;
table 1 threat electromagnetic environment equipment deployment table
Figure BDA0002482341610000051
Table 2 threat electromagnetic environment deployment table
Figure BDA0002482341610000052
Step two, setting an environment correspondingly, eliminating inherent attribute parameters which are slightly influenced by the environment from basic parameters of each subsystem of the equipment, and reserving index parameters which are greatly influenced and changed by the environment;
the index parameters which are easy to be influenced and changed are divided into four categories of probability, error, precision and state.
Thirdly, setting the experiment times according to the set script by using a semi-physical simulation system to repeatedly carry out the experiment and obtain an experiment sample;
step four, calculating indexes of probability class, error class, precision class and state class
a) Calculating probability indexes of all subsystems in threat electromagnetic environment
Figure BDA0002482341610000053
(i =1, \ 8230;, N, N is the number of equipment subsystems,
Figure BDA0002482341610000054
Figure BDA0002482341610000055
number of probability indexes representing subsystem i)
Figure BDA0002482341610000056
In the formula: n is the number of experiments;
Figure BDA0002482341610000057
the kth experimental value of the j probability class index of the subsystem i in the threat environment.
Figure BDA0002482341610000058
b) Calculating error indexes of various subsystems in threat electromagnetic environment
Figure BDA0002482341610000059
(i =1, \8230;, N, N is the number of equipment subsystems,
Figure BDA00024823416100000510
Figure BDA0002482341610000061
Figure BDA0002482341610000062
representing the number of error class indicators for subsystem i).
Figure BDA0002482341610000063
In the formula:
Figure BDA0002482341610000064
the error mean value of the jth error index of the subsystem i in the non-interference condition is obtained by multiple experiments;
Figure BDA0002482341610000065
the error value of the kth experiment is an index of the jth error class of the subsystem i in the threat electromagnetic environment;
Figure BDA0002482341610000066
the error deviation value of the j th error index n times of the subsystem i under the threat electromagnetic environment.
Figure BDA0002482341610000067
Figure BDA0002482341610000068
The actual measurement value of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the threat environment is shown, wherein
Figure BDA0002482341610000069
The number of measured values of the kth experiment of the corresponding parameter of the jth error index of the subsystem i in the threat environment,
Figure BDA00024823416100000610
measuring time of a kth test of parameters corresponding to a jth error index of a subsystem i in a threat environment, wherein delta T is a sampling interval;
Figure BDA00024823416100000611
the j error index of the subsystem i corresponds to a parameter set value in the non-interference environment.
Figure BDA00024823416100000612
In the formula:
Figure BDA00024823416100000613
the actual measurement value of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the interference-free environment is obtained, wherein
Figure BDA00024823416100000614
The number of measured values of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the interference-free environment is determined.
c) Calculating accuracy class indexes of all subsystems under threat electromagnetic environment
Figure BDA00024823416100000615
(i =1, \8230;, N, N is the number of equipment subsystems,
Figure BDA00024823416100000616
Figure BDA00024823416100000617
representing the number of precision indexes of the subsystem i);
Figure BDA00024823416100000618
in the formula: delta sigmaij= -the j precision index set value of the subsystem i under the condition of no interference;
Figure BDA00024823416100000619
-is the measurement of the kth experiment of the jth precision class index of the subsystem i in the threat electromagnetic environment;
Figure BDA00024823416100000620
the precision deviation value of the j th precision index n times of the subsystem i in the threat electromagnetic environment.
Figure BDA0002482341610000071
Figure BDA0002482341610000072
The actual measurement value of the kth experiment of the parameter corresponding to the jth precision index of the subsystem i in the threat environment is shown, wherein
Figure BDA0002482341610000073
The number of the measured values of the kth experiment of the corresponding parameters of the jth precision index of the subsystem i in the threat environment,
Figure BDA0002482341610000074
measuring time of a kth test of parameters corresponding to a jth precision index of a subsystem i in a threat environment, wherein delta T is a sampling interval;
Figure BDA0002482341610000075
the j precision index of the subsystem i corresponds to a parameter set value in the non-interference environment.
d) Calculating system state class indexes of all subsystems under threat electromagnetic environment
Figure BDA0002482341610000076
(i =1, \8230;, N, N is the number of equipment subsystems,
Figure BDA0002482341610000077
Figure BDA0002482341610000078
representing the number of state class indexes of the subsystem i);
Figure BDA0002482341610000079
step five, calculating index weights of all the subsystems under the threat electromagnetic environment
Figure BDA00024823416100000710
(i =1, \8230;, N, N is the number of equipment subsystems,
Figure BDA00024823416100000711
Figure BDA00024823416100000712
representing the number of index weights of the subsystem i), calculating pairwise comparison values of all indexes of the subsystem by adopting 1-9 scales, establishing a weight judgment matrix, and calculating a matrix characteristic vector to obtain the weight value of each evaluation index;
TABLE 3 weight Scale Table
Figure BDA00024823416100000713
Taking Table 3 as an example, the following weight determination matrix can be obtained
Figure BDA00024823416100000714
In the formula, aijIs an index BiRelative to the index BjRelative weight of (c).
Solving | A- λ E | =0 to obtain the maximum characteristic solution of the matrix as λmaxAnd (5). Calculating the eigenvalue and the eigenvector of the matrix to obtain the weight occupied by each evaluation index:
W＝[ω1,ω2,ω3,ω4,ω5]T＝[0.4091,0.1363,0.0455,0.0455,0.3636]T
step six, calculating comprehensive capability index K of each subsystem in threat electromagnetic environmenti(i =1, \8230;, N, N is the number of equipment subsystems)
Figure BDA0002482341610000081
Step seven, calculating the comprehensive capability index K of the whole system under the threat electromagnetic environmentc；
Figure BDA0002482341610000082
In the formula: gamma-is a weight adjustment coefficient,
Figure BDA0002482341610000083
the inter-system conduction success rate of the subsystem i is shown;
and step eight, checking the result, and ending.

Claims (1)

1. A comprehensive capability assessment method under the equipment whole system threat electromagnetic environment is characterized by comprising the following steps: the method comprises the following steps:
setting a scenario, and constructing threat electromagnetic environment input, wherein the environment comprises 1/set of tested equipment, N radars and M interference machines; establishing a threat electromagnetic environment equipment parameter deployment table and an environment deployment table, wherein index parameters comprise frequency, pulse width, repetition period, signal type, equivalent radiation power and the number of radar/communication jammers;
step two, setting an environment correspondingly, eliminating inherent attribute parameters which are slightly influenced by the environment from basic parameters of each subsystem of the equipment, and reserving index parameters which are greatly influenced by the environment and change; dividing index parameters which are easy to be influenced and changed into four major categories of probability category, error category, precision category and state category;
thirdly, setting the experiment times according to the set script by using a semi-physical simulation system to repeatedly carry out the experiment and obtain an experiment sample;
calculating indexes of probability, error, precision and state;
a) Calculating probability class indexes of each subsystem in threat electromagnetic environment
Figure FDA0003800798800000011
Wherein i =1, \ 8230, N is the number of equipment subsystems,
Figure FDA0003800798800000012
Figure FDA0003800798800000013
representing the number of probability indexes of the subsystem i;
Figure FDA0003800798800000014
in the formula: n is the number of experiments;
Figure FDA0003800798800000015
-the kth experimental value of the j probability class index of the subsystem i in the threat environment;
Figure FDA0003800798800000016
b) Calculating error indexes of each subsystem in threat electromagnetic environment
Figure FDA0003800798800000017
Wherein i =1, \8230, N is the number of equipment subsystems,
Figure FDA0003800798800000018
Figure FDA0003800798800000019
representing the number of error indexes of the subsystem i;
Figure FDA00038007988000000110
in the formula:
Figure FDA00038007988000000111
the error mean value of the jth error index of the subsystem i in the non-interference condition is obtained by multiple experiments;
Figure FDA00038007988000000112
the error value of the kth experiment is an index of the jth error class of the subsystem i in the threat electromagnetic environment;
Figure FDA00038007988000000113
the j error class index of the subsystem i under the threat electromagnetic environment is an n-time experimental error deviation value;
Figure FDA00038007988000000114
Figure FDA0003800798800000021
the actual measurement value of the kth experiment of the parameter corresponding to the jth error index of the subsystem i in the threat environment is shown, wherein
Figure FDA0003800798800000022
The number of measured values of the kth experiment of the corresponding parameter of the jth error index of the subsystem i in the threat environment,
Figure FDA0003800798800000023
measuring time of a kth test of a parameter corresponding to a jth error index of a subsystem i in a threat environment, wherein delta T is a sampling interval;
Figure FDA0003800798800000024
-to be divided under non-interfering conditionsThe jth error index of the system i corresponds to a parameter set value;
Figure FDA0003800798800000025
in the formula:
Figure FDA0003800798800000026
the jth error index of the subsystem i corresponds to the actual measurement value of the kth experiment of the parameter under the non-interference environment, wherein
Figure FDA0003800798800000027
The number of measured values of the parameter kth experiment corresponding to the jth error index of the subsystem i in the interference-free environment is measured;
c) Calculating accuracy class index of each subsystem in threat electromagnetic environment
Figure FDA0003800798800000028
i =1, \ 8230, N, N is the number of equipment subsystems,
Figure FDA0003800798800000029
Figure FDA00038007988000000210
representing the number of precision indexes of the subsystem i;
Figure FDA00038007988000000211
in the formula: delta sigmaij= -the j precision index set value of the subsystem i under the condition of no interference;
Figure FDA00038007988000000212
the measured value of the kth experiment of the jth precision class index of the subsystem i in the threat electromagnetic environment；
Figure FDA00038007988000000213
The precision deviation value of the j precision index n times of the subsystem i in the threatening electromagnetic environment;
Figure FDA00038007988000000214
Figure FDA00038007988000000215
the actual measurement value of the kth experiment of the parameter corresponding to the jth precision index of the subsystem i in the threat environment is shown, wherein
Figure FDA00038007988000000216
The number of the measured values of the kth experiment of the corresponding parameter of the jth precision index of the subsystem i in the threat environment,
Figure FDA00038007988000000217
measuring time of a kth test of a parameter corresponding to a jth precision class index of a subsystem i in a threat environment, wherein delta T is a sampling interval;
Figure FDA00038007988000000218
the j precision index of the subsystem i corresponds to a parameter set value in the non-interference environment;
d) Calculating the state index of each subsystem in the threatening electromagnetic environment
Figure FDA00038007988000000219
i =1, \ 8230, N, N is the number of equipment subsystems,
Figure FDA0003800798800000031
Figure FDA0003800798800000032
representing the number of state class indexes of the subsystem i;
Figure FDA0003800798800000033
step five, calculating index weights of all the subsystems under the threat electromagnetic environment
Figure FDA0003800798800000034
i =1, \ 8230, N, N is the number of equipment subsystems,
Figure FDA0003800798800000035
Figure DEST_PATH_IMAGE002
the number of the index weights representing the subsystem i is 1-9 in scale, pairwise comparison values of all indexes of the subsystem are calculated, a weight judgment matrix is established, and a matrix characteristic vector is calculated to obtain the weight value of each evaluation index;
step six, calculating comprehensive capability index K of each subsystem in threat electromagnetic environmentiI =1, \8230, N and N are the number of equipment subsystems;
Figure FDA0003800798800000037
step seven, calculating the comprehensive capability index K of the whole system under the threat electromagnetic environmentc；
Figure FDA0003800798800000038
In the formula: gamma-is a weight value adjusting coefficient,
Figure FDA0003800798800000039
being part of system iInter-system conduction success rate;
and step eight, checking the result, and ending.
CN202010381637.5A 2020-05-08 2020-05-08 Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment Active CN111812424B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010381637.5A CN111812424B (en) 2020-05-08 2020-05-08 Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010381637.5A CN111812424B (en) 2020-05-08 2020-05-08 Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment

Publications (2)

Publication Number Publication Date
CN111812424A CN111812424A (en) 2020-10-23
CN111812424B true CN111812424B (en) 2022-11-01

Family

ID=72848071

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010381637.5A Active CN111812424B (en) 2020-05-08 2020-05-08 Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment

Country Status (1)

Country Link
CN (1) CN111812424B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114578295B (en) * 2022-01-12 2024-07-26 西安电子科技大学 Interference situation describing method
CN115129755B (en) * 2022-07-06 2024-09-06 中国人民解放军军事科学院战争研究院 Task scene-based information link demand assessment method
CN115859690B (en) * 2023-02-15 2023-06-06 西安热工研究院有限公司 A multi-level QMU evaluation method and system for equipment electromagnetic threats

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6700388B1 (en) * 2002-02-19 2004-03-02 Itt Manufacturing Enterprises, Inc. Methods and apparatus for detecting electromagnetic interference
CN103869191A (en) * 2014-03-17 2014-06-18 中国航空无线电电子研究所 Aircraft electromagnetic environment safety margin assessment regulation method
CN104503425A (en) * 2014-11-24 2015-04-08 中国电子科技集团公司第二十九研究所 Radar countermeasure equipment effectiveness evaluation method based on hardware-in-the-loop simulation
CN107360580A (en) * 2017-07-31 2017-11-17 中国人民解放军63892部队 A kind of ultrashort wave Wireless Telecom Equipment communication measures of effectiveness method of testing and device
CN108445313A (en) * 2018-01-31 2018-08-24 中国人民解放军陆军工程大学 Comprehensive prediction method for electromagnetic radiation effect of frequency equipment and terminal equipment
CN210142149U (en) * 2019-03-12 2020-03-13 中国人民解放军陆军装甲兵学院 Portable equipment assessment guidance and control electromagnetic environment monitoring support equipment

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6979992B2 (en) * 2001-05-16 2005-12-27 Duke Energy Corporation Portable radiated emissions measurement system
US10104098B2 (en) * 2014-06-02 2018-10-16 Bastille Networks, Inc. Electromagnetic threat detection and mitigation in the Internet of Things
US10215535B2 (en) * 2015-03-20 2019-02-26 The Boeing Company System, method, and assembly for adaptively shielding a structure

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6700388B1 (en) * 2002-02-19 2004-03-02 Itt Manufacturing Enterprises, Inc. Methods and apparatus for detecting electromagnetic interference
CN103869191A (en) * 2014-03-17 2014-06-18 中国航空无线电电子研究所 Aircraft electromagnetic environment safety margin assessment regulation method
CN104503425A (en) * 2014-11-24 2015-04-08 中国电子科技集团公司第二十九研究所 Radar countermeasure equipment effectiveness evaluation method based on hardware-in-the-loop simulation
CN107360580A (en) * 2017-07-31 2017-11-17 中国人民解放军63892部队 A kind of ultrashort wave Wireless Telecom Equipment communication measures of effectiveness method of testing and device
CN108445313A (en) * 2018-01-31 2018-08-24 中国人民解放军陆军工程大学 Comprehensive prediction method for electromagnetic radiation effect of frequency equipment and terminal equipment
CN210142149U (en) * 2019-03-12 2020-03-13 中国人民解放军陆军装甲兵学院 Portable equipment assessment guidance and control electromagnetic environment monitoring support equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A meta-synthesis of evaluating battlefield electromagnetic environment effects;Jinhua Xu 等;《2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing》;20081231;第79-83页 *
武器装备复杂电磁环境适应性试验与评估能力建设;蔡小斌 等;《测控技术》;20181231;第1-4页 *

Also Published As

Publication number Publication date
CN111812424A (en) 2020-10-23

Similar Documents

Publication Publication Date Title
CN111812424B (en) Comprehensive capability assessment method under equipment whole-system threat electromagnetic environment
CN102227691B (en) Detection of anomalies in aircraft engine
CN108107413B (en) Radar target simulator calibration system
CN113568055B (en) A method for inversion of aerial transient electromagnetic data based on LSTM network
CN106529090A (en) Evaluation method of reliability of aerospace electronic product
CN109856969A (en) A kind of failure prediction method and forecasting system based on BP neural network model
CN115327496B (en) A real-time evaluation method and system for radar equipment status
CN102466795B (en) Method for estimating intra-pulse characteristic parameter of radar signal based on a plurality of indexes
CN109241617A (en) A kind of Guidance and control semi-matter simulating system credibility evaluation method based on genealogical classification
CN104239712A (en) Real-time evaluation method for anti-interference performance of radar
CN109670202A (en) A kind of Simulation Credibility Evaluation method based on cloud model
CN111460597A (en) Radar station distribution method based on improved multi-target particle swarm optimization algorithm
CN104598654A (en) Ignition advance angle prediction system and method thereof
CN106301612B (en) The automatic test approach and system of inquisitor receiving sensitivity based on counter
CN110749444A (en) Calibration system and method for aerospace liquid engine ground test testing system
CN117056875A (en) Cable transmission performance analysis method and device based on test data
CN118305474A (en) Metal micropore template galvanometer laser cutting quality optimization control method and system
CN112307670A (en) Design method of pressurized water reactor core parameter prediction model based on bagging integrated neural network
CN110889207A (en) System combination model credibility intelligent evaluation method based on deep learning
CN107389176A (en) It is a kind of based on the intelligent weighing method repeatedly calibrated
CN111191340A (en) Reliability test method for shipborne satellite communication system
CN112464848A (en) Information flow abnormal data monitoring method and device based on density space clustering
CN113515869A (en) Radar antagonistic performance analysis method based on super-saturation design
CN106772306B (en) A kind of target detection method and server
CN111222736A (en) A method for evaluating the reliability of ammunition storage based on hybrid correlation vector machine model

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant