CN114564813A - Electromagnetic environment multi-domain characteristic threat degree evaluation method - Google Patents
Electromagnetic environment multi-domain characteristic threat degree evaluation method Download PDFInfo
- Publication number
- CN114564813A CN114564813A CN202210032684.8A CN202210032684A CN114564813A CN 114564813 A CN114564813 A CN 114564813A CN 202210032684 A CN202210032684 A CN 202210032684A CN 114564813 A CN114564813 A CN 114564813A
- Authority
- CN
- China
- Prior art keywords
- frequency
- electromagnetic environment
- domain
- threat
- time
- 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.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000012512 characterization method Methods 0.000 claims abstract description 15
- 238000013210 evaluation model Methods 0.000 claims abstract description 12
- 230000005855 radiation Effects 0.000 claims description 78
- 238000001228 spectrum Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 14
- 230000005670 electromagnetic radiation Effects 0.000 claims description 7
- 238000010586 diagram Methods 0.000 claims description 5
- 230000035945 sensitivity Effects 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The method for evaluating the threat degree of the multi-domain characteristics of the electromagnetic environment can evaluate the threat degree of the electromagnetic environment to electronic information equipment. The invention is realized by the following technical scheme: firstly, starting from an electromagnetic environment, establishing a time domain, frequency domain, space domain and energy domain characterization model, and comprehensively and completely describing the integral state of the electromagnetic environment characterization by adopting time domain characteristics, space domain characteristics, frequency domain characteristics and energy domain characteristics; then, establishing a threat degree evaluation index system of time domain correlation, frequency domain correlation, space domain correlation and energy domain correlation of the electromagnetic environment and the frequency equipment based on the characterization model; giving an electromagnetic environment multi-domain external objective characteristic model, an electromagnetic environment threat degree evaluation model, threat degree grade division standards and evaluation factors, and making qualitative threat degree grade prediction to realize dynamic prediction evaluation of the electromagnetic environment threat degree; and finally, establishing an electromagnetic environment threat degree model and electromagnetic environment threat degree grading based on the threat degree evaluation indexes.
Description
Technical Field
The invention relates to the technical field of electronic and communication technology electromagnetic environment effect evaluation, in particular to an evaluation method for evaluating the threat degree of an electromagnetic environment to electronic information equipment.
Background
With the heavy use of electronic devices. The complex electromagnetic environment comprises more and more elements, so that the electromagnetic environment is more complex and changeable. The electromagnetic environment has become a core environmental element for informatization, and becomes one of factors which must be considered under future informatization conditions. The complex electromagnetic environment is a fuzzy concept, so that the complexity measurement of the electromagnetic environment has certain ambiguity, dense overlapping in a time domain, intangible and shadowless in a domain, variable in a frequency domain and the like, and some parameters have characteristics and incomplete containment which are difficult to quantify. Generally, the complexity of an electromagnetic environment refers to the degree of density and overlapping of various electromagnetic signals in a certain frequency band in a limited space-time. The electromagnetic environment has the characteristics of multiple radiation sources, large distribution density, wide distribution range, serious signal overlapping and the like, and has the advantages of complex signal modulation, variable parameters, high rapidness and high degree of signal comprehensive threat. At present, there is a sharp contradiction between limited frequency spectrum resources and wireless communication which is infinitely increased, and the research value of the complexity of the electromagnetic environment is highlighted. The rapid complexity evaluation is beneficial to enhancing the real-time supervision and dynamic management of frequency spectrum resources in civil use. Since the electromagnetic wave is affected by the medium during propagation, it will vary to some extent, for example, the electromagnetic wave attenuated at points at different distances from the radiation source will differ from the electromagnetic wave at the time of emission, and there will be a large number of overlapping pulses. The electromagnetic environment signal analysis is generally to perform analysis and identification on characteristic parameters of signals obtained by searching, detecting, intercepting and measuring uncoordinated wireless electromagnetic signals, wherein the obtained characteristic parameters generally include electromagnetic signal frequency, electromagnetic signal bandwidth, continuous wave or electromagnetic pulse signal form, modulation characteristics and the like, and provide basis for supervision and countermeasures of the wireless signals. At present, time domain, space domain, frequency domain and energy domain parameters can be extracted in real time through searching data, but the modulation domain parameters can be obtained only by carrying out modulation pattern analysis on all signals, so that the time domain, space domain, frequency domain and energy domain parameters cannot be obtained in real time. Although the modulation pattern of the signal reflects the complexity of the electromagnetic environment to some extent, it cannot be obtained quickly and cannot be used as an index. The common electromagnetic environment complexity detection method is characterized by counting the characteristics of a certain region, a certain frequency band, a certain time period, a time domain, a space domain, a frequency domain, an energy domain, a modulation domain and the like, classifying the electromagnetic environment by estimating complexity through a certain model, selecting a frequency spectrum occupancy rate, a time occupancy rate, a space coverage rate and an average power density spectrum as complexity estimation indexes, and defining the electromagnetic environment complexity grade according to the complexity estimation indexes. The method takes the modulation domain parameters as evaluation indexes, and the number of individual signals is large, so the method is slow and cannot quickly calculate the complexity of the electromagnetic environment. The magnitude of the transaction signal rate largely reflects the severity of the electromagnetic environment conflict. The transaction signals can be obtained by mining from the search data, and the transaction signal rate can be rapidly obtained. However, the radio communication signal is affected by noise, multipath effect, and the like, and the abnormal signal rate is not easy to extract. Especially in complex environments, it is difficult to directly extract from the search data, and the data must be preprocessed. Since the modulation domain parameters must be obtained by analyzing the modulation pattern of the individual signals, the complexity of the electromagnetic environment in the general situation can be evaluated, but the important area cannot be evaluated, because the modulation domain parameters are evaluated only according to statistical values, and the influence of a few important signals is ignored.
Under the complex and changeable electromagnetic environment, the existing commonly used method for evaluating the complexity and the fidelity of the training electromagnetic environment has the defects of large calculation workload of parameters such as signal modulation patterns and the like, high demand on calculation resources and poor real-time property. Because more than one radiation source and one receiver generate random variable irregular signals, the random variable irregular signals all have uncertain influence on the discovery of threat signals, false alarms or false alarm can be caused, and the electromagnetic compatibility coordination difficulty is high. In addition, the radiation source is the most influential factor for the electromagnetic device, and the influence of the radiation source on the receiver is also a threat to the radiation source. The anti-interference degree of the electronic equipment corresponds to the sensitive value, is most sensitive to the complexity of the electromagnetic environment and is influenced most. The higher the sensitive value is, the stronger the anti-interference capability is, and the lower the anti-interference capability is. Under the condition of electromagnetic disturbance, the performance of equipment and a system is reduced, if the anti-interference capability of one piece of equipment is stronger, the sensitivity is higher, and if the anti-interference capability is lower, the interference degree is lower, and if the radiation intensity is higher than a sensitive value, the interference is stronger. At present, the expression of a complex electromagnetic environment mainly comprises signal quantity, signal density, video characteristics and the like, the expression mode has macroscopic guiding significance, but the microscopic expression of complexity is not specific enough, the analysis of complexity elements is insufficient, the time-varying expression is not obvious, the use requirement of future training cannot be met, and the decision can be even influenced in some cases. The threat environment range that the target source characteristic faces is wider, the variety is more, this characteristic of complicated electromagnetic environment has increased the discovery of threat target and discernment degree of difficulty under the complicated electromagnetic environment. Electromagnetic environment and threat target signals typically come from several key directions. Mainly comprises (1) various airplanes taking off on land (sea) base; (2) unmanned scout; (3) shore based fixed and mobile station radars; (4) various civil radiation sources. Therefore, the evaluation of the threat degree of the electromagnetic environment needs to mainly solve the following problems: firstly, establishing a threat degree evaluation index system, wherein the commonalities and individual differences of various electronic equipment need to be fully considered; secondly, a threat degree evaluation model is constructed, and the constructed model has certain universality and pertinence.
Disclosure of Invention
The invention aims to provide a method which is strong in operability and can accurately and effectively evaluate the threat degree of an electromagnetic environment on electronic equipment, and the method is used for supporting and demonstrating the adaptability of the electronic equipment in a complex electromagnetic interference environment.
The invention adopts the following specific technical scheme: a method for evaluating threat degree of multi-domain characteristics of an electromagnetic environment is characterized by comprising the following steps:
establishing a threat degree model and a threat degree grade of an electromagnetic environment to frequency-using equipment in electromagnetic environment monitoring and evaluating equipment, setting threat degree grade judgment, dividing electromagnetic threat signal parameters into a finite value type, an interval value type and a comprehensive value type, starting from the space, time, frequency spectrum and energy of electromagnetic waves, and comprehensively and completely describing the integral state of the electromagnetic environment representation by adopting time domain characteristics, space domain characteristics, frequency domain characteristics and energy domain characteristics;
according to the relevance of parameters such as the frequency range, the time range and the energy range of the space range of the electromagnetic environment and the relevance of frequency equipment in multiple layers of space, frequency, time and energy, the electromagnetic environment with frequency equipment is used as a threat degree index of the electromagnetic environment of the frequency equipment for evaluation, and a qualitative threat degree grade prediction is made by establishing an evaluation index system of the frequency characteristics for electronic equipment and the objective electromagnetic environment characteristics and an electromagnetic environment threat degree evaluation index system based on multi-domain characteristic relevance, and then providing an objective characteristic model and an electromagnetic environment threat degree evaluation model of the electromagnetic environment in multiple domains, a threat degree grade division standard and an evaluation factor on the basis, so that the dynamic prediction and evaluation of the threat degree of the electromagnetic environment are realized;
the objective characteristic model determines an electromagnetic environment characteristic element set according to the distribution rule of electromagnetic radiation energy along with time and frequency, decomposes different composition elements with threat level according to the nature of threat level and the achieved target, and forms a set { TR (transmitter-receiver) of each element influencing an evaluation objectj,SRj,FRrj,ERjAssigning the membership degree of each element, and determining a weight set xit,ξs,ξf,ξeGiving a calculation model of spatial domain correlation, time domain correlation, frequency domain correlation and energy domain correlation of the radiation source j and the frequency utilization equipment, for example, in the direction of connecting a calculation frequency utilization device and a radiation source, determining the spatial domain correlation by the product of the gain of a transmitting antenna and the gain of a receiving antenna, giving the radiation frequency of the frequency utilization device and the radiation source, and determining the coincidence spectrum width of the signal bandwidth of the radiation source and the bandwidth of a receiver; the electromagnetic environment threat degree evaluation model calculates the threat degree PT of the electromagnetic environment according to the influence degree of the sensed electromagnetic environmentrAnd judging the threat level of the constructed electromagnetic environment threat level to the electronic equipment to obtain the specific target electromagnetic environment threat level.
Compared with the prior art, the invention has the following beneficial effects.
The method comprises the steps of carrying out electromagnetic threat degree evaluation on electronic equipment in a complex electromagnetic environment, establishing an electromagnetic environment frequency-using equipment threat degree model and threat degree grades in electromagnetic environment monitoring and evaluating equipment, setting threat degree grade judgment, dividing electromagnetic threat signal parameters into a finite value type, an interval value type and a comprehensive value type, starting from the space, time, frequency spectrum and energy of electromagnetic waves, and comprehensively and completely describing the integral state of electromagnetic environment representation by adopting time domain characteristics, space domain characteristics, frequency domain characteristics and energy domain characteristics; the operability is strong, and the threat degree of the electromagnetic environment can be accurately and effectively evaluated.
The invention describes the electromagnetic environment according to the complex distribution and change conditions of electromagnetic waves radiated by various electromagnetic activities in space, time, frequency spectrum and power, starts from the space, time, frequency spectrum and energy of the electromagnetic waves, adopts time domain characteristics, space domain characteristics, frequency domain characteristics and energy domain characteristics, comprehensively and completely describes the overall state of the electromagnetic environment according to the distribution rule of the electromagnetic radiation energy along with the time and the frequency, comprehensively considers the internal relevance of the electromagnetic environment external characteristics and the frequency characteristics of specific equipment, establishes an electromagnetic environment time domain, space domain, frequency domain and energy domain characterization model, can be driven based on real-time scene simulation, can utilize computer technology to predict and simulate the complex electromagnetic environment, and realizes the dynamic prediction and evaluation of the threat degree of the electromagnetic environment. The calculation speed of the threat degree assessment can be increased.
The method adopts an objective characteristic model, determines an electromagnetic environment characteristic element set according to the distribution rule of electromagnetic radiation energy along with time and frequency, decomposes different composition elements with threat level according to the property of the threat level and the achieved target, and forms a set { TR (transmitter-receiver) of each element influencing an evaluation objectj,SRj,FRrj,ERjAssigning the membership degree of each element, and determining a weight set { ξ }t,ξs,ξf,ξeAnd giving a calculation model of the spatial domain correlation degree, the time domain correlation degree, the frequency domain correlation degree and the energy domain correlation degree of the radiation source j and the frequency utilization equipment, for example, in the connection direction of the frequency utilization equipment and the radiation source, determining the spatial domain correlation degree by the product of the gain of the transmitting antenna and the gain of the receiving antenna, giving the radiation frequency of the frequency utilization equipment and the radiation source, and determining the coincidence spectrum width of the signal bandwidth of the radiation source and the bandwidth of the receiver. The electromagnetic environment threat degree evaluation model calculates the threat degree PT of the electromagnetic environment according to the influence degree of the sensed electromagnetic environmentrAnd judging the threat degree of the constructed electromagnetic environment threat degree level to the electronic equipment to obtain the specific target electromagnetic environment threat degree. The adaptability evaluation for the complex electromagnetic environment of the electronic equipment is realized through the electromagnetic environment numberThe simulation evaluation can save cost, has low risk and good repeatability.
Drawings
FIG. 1 is a flow chart of threat level assessment of multi-domain features of an electromagnetic environment according to the present invention;
FIG. 2 is a schematic diagram of the time domain, space domain, frequency domain and energy domain characterization distribution of the electromagnetic environment of the present invention;
FIG. 3 is a schematic view of the spatial distribution of the frequency-using device of the present invention with respect to the radiation source;
FIG. 4 is a schematic diagram showing the working period of the radiation source and the working period of the frequency-using device according to the present invention;
FIG. 5 is a schematic diagram of the coincidence of the signal bandwidth of the radiation source and the bandwidth of the frequency-using device according to the present invention;
in order to make the purpose and technical solution of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and embodiments.
Detailed Description
See fig. 1. According to the invention, a threat degree model and a threat degree grade of an electromagnetic environment to frequency-using equipment are established in electromagnetic environment monitoring and evaluating equipment, threat degree grade judgment is set, electromagnetic threat signal parameters are divided into a finite value type, an interval value type and a comprehensive value type, starting from electromagnetic waves in space, time, frequency spectrum and energy, and the overall state of electromagnetic environment representation is comprehensively and completely described by adopting time domain characteristics, space domain characteristics, frequency domain characteristics and energy domain characteristics; according to the relevance of parameters such as the frequency range, the time range and the energy range of the space range of the electromagnetic environment and the relevance of frequency equipment in multiple layers of space, frequency, time and energy, the electromagnetic environment with frequency equipment is used as a threat degree index of the electromagnetic environment of the frequency equipment for evaluation, and a qualitative threat degree grade prediction is made by establishing an evaluation index system of the frequency characteristics for electronic equipment and the objective electromagnetic environment characteristics and an electromagnetic environment threat degree evaluation index system based on multi-domain characteristic relevance, and then providing an objective characteristic model and an electromagnetic environment threat degree evaluation model of the electromagnetic environment in multiple domains, a threat degree grade division standard and an evaluation factor on the basis, so that the dynamic prediction and evaluation of the threat degree of the electromagnetic environment are realized;
objective feature model based on electromagnetic radiation energyDetermining an electromagnetic environment characteristic element set according to the distribution rule of time and frequency, decomposing different component elements of threat degree levels according to the nature of the threat degree levels and the achieved target, and forming a set of elements (TR) influencing an evaluation objectj,SRj,FRrj,ERjAssigning the membership degree of each element, and determining a weight set { ξ }t,ξs,ξf,ξe}. Giving a calculation model of the spatial domain correlation degree, the time domain correlation degree, the frequency domain correlation degree and the energy domain correlation degree of the radiation source j and the frequency utilization equipment, for example, in the direction of connecting a frequency utilization device and a radiation source, determining the spatial domain correlation degree by the product of the gain of a transmitting antenna and the gain of a receiving antenna, giving the radiation frequency of the frequency utilization device and the radiation source, and determining the coincidence spectrum width of the signal bandwidth of the radiation source and the bandwidth of a receiver; the electromagnetic environment threat degree evaluation model calculates the threat degree PT of the electromagnetic environment according to the influence degree of the sensed electromagnetic environmentrAnd judging the threat degree of the constructed electromagnetic environment threat degree level to the electronic equipment to obtain the specific target electromagnetic environment threat degree.
Referring to fig. 2, an electromagnetic environment threat level index system is constructed. The threat level of the electromagnetic environment is necessarily targeted, and the discussion of the threat level of the electromagnetic environment necessarily relates to the performance of a specific sensor or equipment, i.e. the threat level is not just an estimation obtained from objective electromagnetic environment parameters, but the association relationship (i.e. the degree of correlation) between the electromagnetic environment and the equipment using frequency is considered. Therefore, the step is to construct an index system for correlating the frequency characteristics of the electronic device with the objective electromagnetic environment characteristics. And taking the correlation between parameters such as a frequency range, a time range and an energy range of a space range in which the electromagnetic environment is positioned and the frequency-using equipment in a plurality of spatial, frequency, time and energy levels as a threat degree index for evaluating the electromagnetic environment of the frequency-using equipment. By establishing a frequency characteristic for the electronic equipment and an objective electromagnetic environment characteristic correlation evaluation index system: the method comprises the following steps of (1) environmental signal existence time, equipment working time, an environmental signal frequency range, an equipment working frequency range, an environmental signal airspace coverage range, equipment antenna beam width, environmental signal receiving power and equipment sensitivity; therefore, a multi-domain characteristic correlation electromagnetic environment threat degree evaluation index system based on time domain correlation degree, space domain correlation degree, frequency domain correlation degree and energy domain correlation degree is constructed.
At any position space point r of the electromagnetic environment, establishing objective electromagnetic environment time domain characteristics, space domain characteristics, frequency domain characteristics, energy domain characteristic element sets and characterization models thereof based on time-frequency distribution of the size of the time-varying power density spectrum S (r, t, f) along with the relation between time and frequency and the time-varying power density spectrum S (r, t, f).
The characterization model takes o as an origin and takes a power dense spectrum S as a Z axis to construct a rectangular coordinate system of time t and frequency f, and according to time domain characteristics and time domain average power density, the rectangular coordinate system is in a certain environment space VΩAnd frequency range f1 f2]And (3) describing the change rule of the signal intensity along with time:
wherein t is a certain moment, f is a frequency, and Ω is an electromagnetic environment space.
The characterization model is based on space domain characteristics and space domain average power density in a certain time range t1,t2]And frequency range f1,f2]In the interior, an electromagnetic environment threshold S is set0Acquiring the signal strength at any point r:
wherein t is a certain moment, f is a frequency, and Ω is an electromagnetic environment space.
The characterization model can represent the overall state of the frequency spectrum occupied by various electromagnetic radiations as V in a certain space according to the frequency domain characteristics and the frequency domain average power densityΩAnd time range [ t1,t2]Mean power spectrum of the signal at different frequencies:
the characterization model obtains a signal intensity distribution rule in a specific region, a specific time period and a specific frequency spectrum range according to the energy domain characteristics and the energy domain average power density:
wherein t is a certain moment, f is a frequency, and Ω is an electromagnetic environment space.
See fig. 3. The objective characteristic model is based on n radiation sources in the space domain electromagnetic environment of the frequency device and the radiation source, 1 target transmitter is distributed by 1 frequency device, the radiation source 1, the radiation source 2 and the radiation source 3 … are divergently distributed, modeling is performed according to the space domain correlation index, and the receiving gain of the receiving antenna of the frequency device in the transmitter direction is obtained
Transmission gain in the direction of the main lobe of a transmitter antenna
Antenna reception gain of frequency device in each radiation source direction
And emission gain of each radiation source to the direction of the user frequency device
In the spatial correlation index modeling, an objective characteristic model calculates the product of the gain of a transmitting antenna and the gain of a receiving antenna in the connecting line direction of frequency equipment and a radiation source according to the spatial correlation of the radiation source j and frequency equipment:
wherein t represents a transmitting end, r represents a receiving end, theta represents an antenna pattern azimuth angle,
Representing the antenna pattern pitch angle.
See fig. 4. And modeling the time domain correlation index. The possibility of time domain correlation degree at the time t is only 4 states of frequency equipment working and shutdown and radiation source working and shutdown, only when the frequency equipment and the radiation source are simultaneously in the working state at the time t, the electromagnetic signal can enter the frequency equipment to generate influence, and in other cases, the frequency equipment is not influenced as long as one of the frequency equipment and the radiation source is in the shutdown state. Therefore, when the frequency-using equipment and the radiation source are simultaneously in a working state at the moment t, the objective characteristic model constructs a time domain correlation degree calculation model at the moment t according to the working time of the frequency-using equipment and the working time of the radiation source:
wherein j denotes the jth radiation source, tSFor frequency equipping the starting moment of operation, tETo the end time, tsIs the starting time of the radiation source, teIs the termination time.
See fig. 5. And modeling the frequency domain correlation index. Setting the bandwidth of the linear part of the receiver to Δ frThe signal bandwidth of the radiation source is delta fjThe center frequency of the signal is fj. Under the condition of determining the total signal power, the signal bandwidth and the receiver bandwidth, the signal power entering the receiver and the frequency aiming error deltafDue to frequency aiming error deltafPresence of a radiation source signal center frequency fjCannot be related to the receiver center frequency frPerfect alignment and the radiation source signal bandwidth often does not completely cover the receiver bandwidth. Therefore, under the condition of determining the total signal power, the signal bandwidth and the receiver bandwidth, the coincidence spectrum width of the signal bandwidth of the radiation source and the receiver bandwidth and the receiver center frequency f are determinedrAt the radiation sourceSignal center frequency fjCalculating the maximum value f of the frequency fmax＝min[frmax,fjmax]Maximum and minimum values f of frequency fmin＝max[frmin,fjmin]The following frequency domain correlation index model is created:
wherein U is a step function, frmaxThe bandwidth upper limit of a receiver of the frequency-using equipment; f. ofrminEquipping the lower limit of the receiver bandwidth for the frequency; f. ofjmaxIs the upper limit of the signal bandwidth of the radiation source; f. ofjminThe lower limit of the signal bandwidth of the radiation source.
In the energy domain correlation index modeling: a radiation source affects the frequency consuming device in the energy domain and must meet the requirement that it reaches a frequency consuming device with a power greater than the sensitivity of the frequency consuming device. Satisfying the power P of the frequency-using device in the energy domainrThe time domain correlation degree calculation model is more than the sensitivity of the frequency utilization equipment according to a correlation degree modeling formula:
and modeling an energy domain correlation index, and constructing an electromagnetic environment threat degree evaluation model according to the spatial domain correlation, the time domain correlation, the frequency domain correlation and the energy domain correlation index.
Let the power density S of the signal at the evaluation setup point of the radiation source setup j at the i-th instantj(r,tiF) frequency of working frequency band of radiation source equipment j is f epsilon [ f)1,f2]Power of the radiation source equipment j into the equipment to be evaluated:
power of N radiation source equipment into the equipment to be evaluated:
the electromagnetic environment threat degree evaluation model evaluates the energy domain threat degree values of N radiation source equipment to-be-evaluated equipment in M refreshing cycles:
wherein { ξt,ξs,ξf,ξeThe weight set SR representing the influence degree of time domain, space domain, frequency domain and energy domain on the threat degreejRepresenting the spatial correlation, TR, of the j-th radiation source with the equipment to be evaluatedjRepresenting the time-domain correlation, FR, of the j radiation source with the equipment to be evaluatedrjRepresents the frequency domain correlation, ER, of the jth radiation source with the equipment under evaluationjRepresenting the degree of energy domain correlation of the jth radiation source with the equipment to be evaluated.
Evaluating model for threat degree of electromagnetic environment according to threat degree value PTrAnd the threat degree grade of the electromagnetic environment to the equipment can be judged according to the threat degree grade of the electromagnetic environment: PTr≤S0Class I simple threat, S0≤PTr≤SIGrade II mild threat, SI≤PTr≤SsClass III moderate threat, Ss≤PTr≤SmaxGrade IV severe threat, PTr≥SmaxAnd class V damage. Wherein S is0Is a level threshold, SITo cross-modulate the level, SsIs at saturation level, SmaxBurn-out levels for electronic equipment.
Claims (10)
1. A method for evaluating threat degree of multi-domain characteristics of an electromagnetic environment is characterized by comprising the following steps:
establishing a threat degree model and a threat degree grade of an electromagnetic environment to frequency-using equipment in electromagnetic environment monitoring and evaluating equipment, setting threat degree grade judgment, dividing electromagnetic threat signal parameters into a finite value type, an interval value type and a comprehensive value type, starting from the space, time, frequency spectrum and energy of electromagnetic waves, and comprehensively and completely describing the integral state of the electromagnetic environment representation by adopting time domain characteristics, space domain characteristics, frequency domain characteristics and energy domain characteristics; according to the parameters of frequency range, time range, energy range and the like of the space range in which the electromagnetic environment is positionedThe relevance of frequency equipment in multiple levels of space, frequency, time and energy is used as a threat degree index for evaluating the electromagnetic environment of frequency equipment, an evaluation index system of frequency characteristics for electronic equipment and objective electromagnetic environment characteristics and an electromagnetic environment threat degree evaluation index system based on multi-domain characteristic relevance are established, on the basis, an objective characteristic model and an electromagnetic environment threat degree evaluation model of multi-domain external of the electromagnetic environment as well as threat degree grade division standards and evaluation factors are given, qualitative threat degree grade prediction is made, and dynamic prediction and evaluation of the electromagnetic environment threat degree are realized; the objective characteristic model determines an electromagnetic environment characteristic element set according to the distribution rule of electromagnetic radiation energy along with time and frequency, decomposes different composition elements with threat level according to the nature of threat level and the achieved target, and forms a set { TR (transmitter-receiver) of each element influencing an evaluation objectj,SRj,FRrj,ERjAssigning the membership degree of each element, and determining a weight set { ξ }t,ξs,ξf,ξeGiving a calculation model of the spatial domain correlation degree, the time domain correlation degree, the frequency domain correlation degree and the energy domain correlation degree of the radiation source j and the frequency utilization equipment, for example, in the direction of connecting a calculation frequency utilization equipment and a radiation source, determining the spatial domain correlation degree by the product of the gain of a transmitting antenna and the gain of a receiving antenna, giving the radiation frequency of the frequency utilization equipment and the radiation source, and determining the coincidence spectrum width of the signal bandwidth of the radiation source and the bandwidth of a receiver; the electromagnetic environment threat degree evaluation model calculates the threat degree PT of the electromagnetic environment according to the influence degree of the sensed electromagnetic environmentrAnd judging the threat degree of the constructed electromagnetic environment threat degree level to the electronic equipment to obtain the specific target electromagnetic environment threat degree.
2. The electromagnetic environment multi-domain signature threat assessment method of claim 1, characterized by: at any position space point r of the electromagnetic environment, establishing objective electromagnetic environment time domain characteristics, space domain characteristics, frequency domain characteristics, energy domain characteristic element sets and characterization models thereof based on time-frequency distribution of the size of the time-varying power density spectrum S (r, t, f) along with the relation between time and frequency and the time-varying power density spectrum S (r, t, f).
3. The electromagnetic environment multi-domain signature threat level assessment method of claim 2, characterized in that: the characterization model takes O as an origin and takes a power dense spectrum S as a Z axis to construct a rectangular coordinate system of time t and frequency f, and according to time domain characteristics and time domain average power density, the rectangular coordinate system is in a certain environment space VΩAnd frequency range f1 f2]And (3) describing the change rule of the signal intensity along with time:
wherein t is a certain moment, f is a frequency, and Ω is an electromagnetic environment space.
4. The electromagnetic environment multi-domain signature threat assessment method of claim 2, characterized by: the characterization model is based on space domain characteristics and space domain average power density in a certain time range t1,t2]And frequency range f1,f2]In the interior, an electromagnetic environment threshold S is set0Acquiring the signal strength at any point r:
the characterization model represents the overall state of the frequency spectrum occupied by various electromagnetic radiations as V in a certain space according to the frequency domain characteristics and the frequency domain average power densityΩAnd time range [ t1,t2]Mean power spectrum of the signal at different frequencies:
wherein t is a certain moment, f is a frequency, and Ω is an electromagnetic environment space.
5. The method of electromagnetic environment multi-domain signature threat assessment of claim 4, characterized by: the characterization model obtains a signal intensity distribution rule in a specific region, a specific time period and a specific frequency spectrum range according to the energy domain characteristics and the energy domain average power density:
wherein t is a certain moment, f is a frequency, and Ω is an electromagnetic environment space.
6. The electromagnetic environment multi-domain signature threat assessment method of claim 1, characterized by: the objective characteristic model is modeled according to the spatial domain electromagnetic environment of frequency equipment and radiation sources, 1 frequency equipment is used for distributing 1 target transmitter, radiation sources 1 and 2 and radiation sources 3 …, and the receiving gain G of a receiving antenna of the frequency equipment in the transmitter direction is obtained according to the spatial domain correlation indexr(θr0,φr0) Transmission gain G in the direction of the main lobe of the transmitter antennat(θt0,φt0) Antenna receiving gain G of frequency device in each radiation source directionrj(θrj,φrj) And the emission gain G of each radiation source to the direction of the frequency-using devicetj(θtj,φtj)，
Wherein t represents a transmitting end, r represents a receiving end, theta represents an antenna directional diagram azimuth angle, and phi represents an antenna directional diagram pitch angle.
7. The method of assessing the threat level of a multi-domain signature of an electromagnetic environment of claim 6, wherein: in the spatial correlation index modeling, an objective characteristic model calculates the product of the gain of a transmitting antenna and the gain of a receiving antenna in the connecting line direction of frequency equipment and a radiation source according to the spatial correlation of the radiation source j and frequency equipment:
8. the method of electromagnetic environment multi-domain signature threat assessment of claim 7, characterized by: and (3) when the frequency-using equipment and the radiation source are simultaneously in a working state at the moment t, constructing a time domain correlation degree calculation model at the moment t according to the working time period of the frequency-using equipment and the working time period of the radiation source by the objective characteristic model:
wherein j denotes the jth radiation source, tSFor frequency equipping the starting moment of operation, tETo the end time, tsAt the starting time of the radiation source, teIs the termination time.
9. The electromagnetic environment multi-domain signature threat assessment method of claim 1, characterized by: under the condition that the total signal power, the signal bandwidth and the receiver bandwidth are determined, a time domain correlation degree calculation model determines the coincidence spectrum width of the radiation source signal bandwidth and the receiver bandwidth, and the receiver center frequency frAt the radiation source signal center frequency fjCalculating the maximum value f of the frequency fmax＝min[frmax,fjmax]Minimum value f of frequency fmin＝max[frmin,fjmin]The following frequency domain correlation index model is created:
wherein, Δ fjFor the radiation source signal bandwidth, U is a step function, frmaxThe bandwidth upper limit of a receiver of the frequency-using equipment; f. ofrminThe frequency is used.
10. The electromagnetic environment multi-domain signature threat assessment method of claim 1, characterized by: satisfying the power P of the frequency-using device in the energy domainrThe sensitivity of the frequency-using equipment is larger, and the time domain correlation degree calculation model is based on the correlation degreeModeling formula:
and modeling an energy domain correlation index, and constructing an electromagnetic environment threat degree evaluation model according to the spatial domain correlation, the time domain correlation, the frequency domain correlation and the energy domain correlation index.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210032684.8A CN114564813A (en) | 2022-01-12 | 2022-01-12 | Electromagnetic environment multi-domain characteristic threat degree evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210032684.8A CN114564813A (en) | 2022-01-12 | 2022-01-12 | Electromagnetic environment multi-domain characteristic threat degree evaluation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114564813A true CN114564813A (en) | 2022-05-31 |
Family
ID=81711421
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210032684.8A Pending CN114564813A (en) | 2022-01-12 | 2022-01-12 | Electromagnetic environment multi-domain characteristic threat degree evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114564813A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115859690A (en) * | 2023-02-15 | 2023-03-28 | 西安热工研究院有限公司 | Multi-level QMU (quality metric unit) evaluation method and system for equipment electromagnetic threat |
| CN115993488A (en) * | 2023-03-24 | 2023-04-21 | 天津安力信通讯科技有限公司 | Intelligent monitoring method and system for electromagnetic environment |
| CN117134846A (en) * | 2023-09-18 | 2023-11-28 | 北京航空航天大学 | Multi-radio-frequency system electromagnetic compatibility optimization method based on feedback type parameter regulation and control |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140008992A1 (en) * | 2012-07-06 | 2014-01-09 | DvineWave Inc. | Receivers for wireless power transmission |
| CN112798889A (en) * | 2020-12-31 | 2021-05-14 | 中国人民解放军国防科技大学 | Space electromagnetic compatibility optimization evaluation system |
| CN113834984A (en) * | 2021-08-31 | 2021-12-24 | 成都众享天地网络科技有限公司 | Electromagnetic environment complexity evaluation method based on time-frequency space energy modulation domain analysis |
-
2022
- 2022-01-12 CN CN202210032684.8A patent/CN114564813A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140008992A1 (en) * | 2012-07-06 | 2014-01-09 | DvineWave Inc. | Receivers for wireless power transmission |
| CN112798889A (en) * | 2020-12-31 | 2021-05-14 | 中国人民解放军国防科技大学 | Space electromagnetic compatibility optimization evaluation system |
| CN113834984A (en) * | 2021-08-31 | 2021-12-24 | 成都众享天地网络科技有限公司 | Electromagnetic environment complexity evaluation method based on time-frequency space energy modulation domain analysis |
Non-Patent Citations (1)
| Title |
|---|
| 付 松等: "一种基于" 四域特征" 的复杂电磁环境多层次评估方法" * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115859690A (en) * | 2023-02-15 | 2023-03-28 | 西安热工研究院有限公司 | Multi-level QMU (quality metric unit) evaluation method and system for equipment electromagnetic threat |
| CN115993488A (en) * | 2023-03-24 | 2023-04-21 | 天津安力信通讯科技有限公司 | Intelligent monitoring method and system for electromagnetic environment |
| CN117134846A (en) * | 2023-09-18 | 2023-11-28 | 北京航空航天大学 | Multi-radio-frequency system electromagnetic compatibility optimization method based on feedback type parameter regulation and control |
| CN117134846B (en) * | 2023-09-18 | 2024-04-12 | 北京航空航天大学 | Multi-radio-frequency system electromagnetic compatibility optimization method based on feedback type parameter regulation and control |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114564813A (en) | Electromagnetic environment multi-domain characteristic threat degree evaluation method | |
| Silva et al. | IR-UWB-based non-line-of-sight identification in harsh environments: Principles and challenges | |
| US20190208491A1 (en) | Systems, methods, and devices for electronic spectrum management for identifying signal-emitting devices | |
| CN107729916B (en) | ISODATA-based interference source classification and identification algorithm | |
| CN110390178B (en) | Training system for aviation communication channel model simulation | |
| Aomumpai et al. | Optimal placement of reference nodes for wireless indoor positioning systems | |
| Suchański et al. | Radio environment map to support frequency allocation in military communications systems | |
| CN108462545A (en) | A kind of ionosphere foF based on single receiving station2Parameter reconstructing method | |
| Chen et al. | Providing spectrum information service using TV white space via distributed detection system | |
| Suchanski et al. | Radio environment maps for military cognitive networks: construction techniques vs. map quality | |
| Ram et al. | Optimization of radar parameters for maximum detection probability under generalized discrete clutter conditions using stochastic geometry | |
| Liu et al. | A shared cluster-based stochastic channel model for joint communication and sensing systems | |
| CN110990500A (en) | Propagation path model map establishing method and path loss determining method | |
| CN103916859A (en) | Detection method for cognizing users maliciously occupying channels in wireless network | |
| CN113472463A (en) | Method for detecting interference constraint violation behavior of secondary user in cognitive wireless network | |
| Chen et al. | Cooperative energy detection algorithm based on background noise and direction finding error | |
| Avcioglu et al. | Three dimensional volume coverage in multistatic sonar sensor networks | |
| Xu et al. | Cluster-based non-stationary vehicular channel model | |
| Zakaria et al. | Propagation measurements and estimation of channel propagation models in urban environment | |
| Gadhgadhi et al. | Distance estimation using polynomial approximation and neural network based on rssi technique | |
| KR102096941B1 (en) | Low RCS target classification apparatus based on PCL radar network and method thereof | |
| Wu et al. | A novel power spectrum-based sequential tracker for time-variant radio propagation channel | |
| Le Nir et al. | Multiple jammer localization and transmission power estimation for radio environment map | |
| Zhang et al. | Field Measurement and Channel Modeling around Wailingding Island for Maritime Wireless Communication | |
| Dai et al. | A propagation modeling approach to urban navigation |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220531 |