CN111413680A - Flight target threat degree identification method, system and device based on analytic hierarchy process - Google Patents

Flight target threat degree identification method, system and device based on analytic hierarchy process Download PDF

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CN111413680A
CN111413680A CN202010366594.3A CN202010366594A CN111413680A CN 111413680 A CN111413680 A CN 111413680A CN 202010366594 A CN202010366594 A CN 202010366594A CN 111413680 A CN111413680 A CN 111413680A
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target
flight
threat degree
hierarchy process
analytic hierarchy
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CN111413680B (en
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秦小斐
吴建军
李旭荣
钟有平
李海虹
首安科
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Beijing Rongda Qianli Technology Co ltd
Liuzhou Dadi Communication Technology Co ltd
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Liuzhou Dadi Communication Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/411—Identification of targets based on measurements of radar reflectivity
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/415—Identification of targets based on measurements of movement associated with the target
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
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Abstract

The invention discloses a flight target threat degree identification method, a system and a device based on an analytic hierarchy process, wherein the method comprises the following steps: acquiring radar data, wherein the radar data comprises starting data of a plurality of flight targets; updating the record table of the flight target according to the starting data, and normalizing the starting data; and calculating a threat degree value corresponding to the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result. According to the invention, the threat degree value corresponding to each flight target is calculated by an analytic hierarchy process after radar data is acquired and normalized, and the identification result is output, so that management personnel can be effectively assisted to manage the low-altitude security area, and the method can be widely applied to the technical fields of detection radar data processing and low-altitude security.

Description

Flight target threat degree identification method, system and device based on analytic hierarchy process
Technical Field
The invention relates to the technical field of detection radar data processing and low-altitude security, in particular to a flight target threat degree identification method, system and device based on an analytic hierarchy process.
Background
The "low-slow small" flying target (such as an aircraft) refers to an aircraft and an airborne object which have all or part of characteristics of "low-altitude and low-altitude flight, slow flying speed and difficult radar detection". The low-slow small-sized flying target is called a low-altitude, low-speed and small-sized flying target (such as an unmanned aerial vehicle), the flying height is generally below 1000 meters, the speed is low, and the radar reflection area is small; flight speed is generally less than 200 km per hour, and radar reflection area (RCS) is less than 1 square meter; therefore, the problems of difficult control, detection and disposal in the low-altitude security field are brought by the low-speed small-flight target.
At present, in the field of low altitude security in China, aiming at a low-speed small flying target which is developed disorderly and is thrown away without supervision, a relatively universal method is to scan parameters such as the distance, the speed and the direction of the low-speed small flying target by adopting a sensing equipment system such as a detection radar equipment system or a radio positioning equipment system. However, the low-slow small flying target flies at low altitude and has a fast track change, so the low-slow small flying target needs to be judged in a short time, and a general radar device can only scan data, does not identify the threat of the flying target, needs to manually identify and is not beneficial to management.
The noun explains:
analytic Hierarchy Process (AHP), a qualitative and quantitative combined analysis multi-criterion decision-making method proposed by the American famous operational research scientist T. L, Satty et al in the 70's of the 20 th century.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a flight target threat degree identification method, a flight target threat degree identification system and a flight target threat degree identification device based on an analytic hierarchy process.
The technical scheme adopted by the invention is as follows:
a flight target threat degree identification method based on an analytic hierarchy process comprises the following steps:
acquiring radar data, wherein the radar data comprises starting data of a plurality of flight targets;
updating the record table of the flight target according to the starting data, and normalizing the starting data;
and calculating a threat degree value corresponding to the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result.
Further, the starting data comprises a target course angle, a target distance, a target course speed and a radar reflection sectional area, and the starting data is subjected to normalized processing and comprises the following steps:
carrying out non-dimensionalization processing on parameters in the batch of data by adopting a membership function to obtain a membership value of a target course angle, a membership value of a target distance, a membership value of a target course speed and a membership value of a radar reflection sectional area;
and the membership value of the target course angle, the membership value of the target distance, the membership value of the target course speed and the membership value of the radar reflection sectional area are constrained in dimensionless data between 0 and 1.
Further, the method comprises the step of obtaining the weight of judgment indexes of the threat degree of the flight target, and specifically comprises the following steps:
determining judgment indexes of the threat degree of the flying target, wherein the judgment indexes comprise a target course angle, a target distance, a target course speed and a radar reflection sectional area;
constructing a judgment matrix according to the judgment indexes;
and calculating the weight of the judgment index according to the judgment matrix.
Further, the method also comprises the step of carrying out effective authentication on the weight, and specifically comprises the following steps:
calculating the maximum characteristic root of the judgment matrix by combining the judgment matrix and the weight;
calculating and judging a deviation consistency index of the matrix according to the maximum characteristic root;
acquiring an average random consistency index, and acquiring a random consistency ratio by combining the deviation consistency index and the average random consistency index;
and determining that the detected random consistency ratio is smaller than a threshold value, and judging that the weight is effective.
Further, the step of calculating a threat degree value corresponding to the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result includes:
and calculating a threat degree value corresponding to the flying target by combining the membership value of the target course angle, the membership value of the target distance, the membership value of the target course speed, the membership value of the radar reflection sectional area and the weight, and obtaining a threat degree identification result.
Further, the calculation step of the membership value of the target course speed comprises the following steps:
acquiring a membership value of the target course speed by combining the target course speed and a first preset formula;
the first preset formula is as follows:
Figure BDA0002476705230000021
where v is the target heading speed and u (v) has a value between [0.1,1 ].
Further, the calculation of the membership value of the radar reflection sectional area comprises the following steps:
acquiring a membership value of the radar reflection sectional area by combining the radar reflection sectional area and a second preset formula;
the second preset formula is as follows:
β(s)＝0.9(1-e(-2s))+0.1
wherein s is the radar reflection cross section area, and β(s) is between [0.1,1 ].
Further, the calculation step of the membership value of the target course angle is as follows:
acquiring a membership value of the target course angle by combining the target course angle and a third preset formula;
the third preset formula is as follows:
Figure BDA0002476705230000031
where θ is the target distance, and a (θ) has a value between [0, 1 ].
Further, the step of calculating the membership value of the target distance comprises:
acquiring a membership value of the target distance by combining the target distance and a fourth preset formula;
the fourth preset formula is as follows:
Figure BDA0002476705230000032
wherein r is the target distance, and d (r) has a value between [0, 1 ].
Further, the starting batch data includes a starting batch number, and the updating processing of the record table of the flight target according to the starting batch data includes:
judging whether the corresponding parameters of the flight targets exist in the record table according to the starting batch number, and if so, updating the parameters of the flight targets according to the starting batch data; and conversely, increasing the parameters of the flight targets in the record table according to the starting data.
The other technical scheme adopted by the invention is as follows:
a flight target threat level identification system based on an analytic hierarchy process, comprising:
the data acquisition module is used for acquiring radar data, and the radar data comprises starting data of a plurality of flight targets;
the data processing module is used for updating the record table of the flight target according to the starting data and carrying out standardized processing on the starting data;
and the identification module is used for calculating the corresponding threat degree value of the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result.
The other technical scheme adopted by the invention is as follows:
a flight target threat degree recognition device based on an analytic hierarchy process comprises:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the method described above.
The invention has the beneficial effects that: according to the method, the threat degree value corresponding to each flight target is calculated by an analytic hierarchy process after the radar data is acquired and normalized, and the identification result is output, so that management personnel can be effectively assisted to manage the low-altitude security area.
Drawings
FIG. 1 is a flowchart illustrating steps of a method for identifying a threat level of a flying target based on an analytic hierarchy process according to an embodiment;
FIG. 2 is a block diagram of a flight target threat degree identification system based on an analytic hierarchy process in an embodiment;
FIG. 3 is a structural diagram of a threat level analysis of the "low-slow-small" flight targets in the embodiment.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
As shown in fig. 1, the embodiment provides a flight target threat degree identification method based on an analytic hierarchy process, which is used for an upper computer and includes the following steps:
and S1, acquiring radar data, wherein the radar data comprises starting data of a plurality of flight targets.
The radar data is data acquired from radar equipment, and the radar data contains batch data of a plurality of detected flying targets; the starting data is a group of reconnaissance parameters of a flight target determined after the reconnaissance of the radar equipment, and represents the basic condition of the flight target; the starting data comprises the values of target course angle, target distance, target course speed and radar cross section (RCS for short). In this embodiment, the radar data may be obtained by interrupting reception of the reconnaissance result of the detection radar in a UDP/IP manner. The upper computer is a device generally having a data processing capability, such as a computer or a server, and is not limited herein. The target course angle is an azimuth angle of the flight course of the flying target; the target distance is the distance between the flying target and the center of the warning area; the target course speed is the speed of the flight course of the flight target; the RCS (radar Cross section) is the radar reflection Cross section of the flying target.
And S2, updating the record table of the flight target according to the starting data, and normalizing the starting data.
After receiving the batch data, performing data updating operation, specifically: judging whether the corresponding parameters of the flight targets exist in the record table according to the starting batch number, and if so, updating the parameters of the flight targets according to the starting batch data; and conversely, increasing the parameters of the flight targets in the record table according to the starting data. The starting batch number is a serial number set for a group of starting batch data.
After the data in the record table is updated, carrying out data normalization processing, and specifically comprising the following steps:
carrying out non-dimensionalization processing on the parameters in the initial batch of data by adopting a membership function to obtain a membership value of a target course angle, a membership value of a target distance and a membership value of a target course speed;
and the membership value of the target course angle, the membership value of the target distance and the membership value of the target course speed are constrained in dimensionless data between 0 and 1.
The original data of the indexes of threat assessment are qualitative and quantitative, and have different dimensions and orders of magnitude, which have adverse effects on the threat discrimination of the flight target, so that before the threat discrimination, the original parameters serving as discrimination indexes need to be normalized, and the value change range of the original parameters is constrained in dimensionless data between 0 and 1. The membership function can be used for data normalization, and other functions can also be used for data normalization. The specific target course angle, target distance and target course speed are processed as follows:
(1) and judging an index processing for the target course speed value, wherein the higher the flying speed of the flying target is, the higher the threat degree is, and the target course speed is processed by adopting an ascending index. The method specifically comprises the following steps: and acquiring a membership value of the target course speed by combining the target course speed and a first preset formula. The first preset formula is as follows:
Figure BDA0002476705230000051
wherein v is the target course speed, the unit is meter/second, and the larger the v value is, the larger the target course membership value u (v) value is; u (v) has a value between [0.1,1 ].
(2) The target distance value judgment index processing is that the closer the flying target is to the center of the security area, the higher the threat degree is, the three areas are divided into the security area, the warning area, the early warning area and the disposal area are sequentially arranged from far to near, the distance of the warning area is set to be 1km, and then the calculation formula of the target distance membership value is as follows:
Figure BDA0002476705230000052
wherein r is the target distance and is measured in meters, when the r value is in an interval of more than 1000m, the smaller the r value is, the larger the d (r) value is, and the d (r) value is between [0, 1 ].
(3) And (3) processing the target course angle judgment index, wherein the connecting line of the flying target and the central point of the warning area is taken as a reference, the clockwise direction is positive, the range is [ -180 degrees, and 180 degrees ], and the smaller the absolute value of the course is, the larger the threat degree is. And (4) converting by using a standard normal distribution function. The calculation formula of the membership value of the target course angle is as follows:
Figure BDA0002476705230000061
where θ is the target distance, the unit is degrees, and θ is 0, the value of a (θ) is equal to 1, and the larger the absolute value of θ, the smaller the value of a (θ), and the value of a (θ) is between [0 and 1 ].
(4) RCS (Radar Cross Section), RCS (Radar Cross Section of the flying target), and the larger the RCS area is, the larger the threat degree of the portable potential equipment (such as a camera) is. The calculation formula of the membership value of the radar reflection sectional area is as follows:
β(s)＝0.9(1-e(-2s))+0.1
where s is the radar reflection cross-sectional area in square meters, and β(s) has a value between [0.1,1 ].
And S3, calculating a threat degree value corresponding to the flight target by combining the normalized starting data and the analytic hierarchy process, and obtaining a threat degree identification result.
Before calculating the threat degree value, the weight of the analytic hierarchy process is calculated firstly, the weight is used as the weight of the threat degree judgment index of the flight target, and the weight is authenticated, specifically including but not limited to the following steps:
(1) determining judgment indexes of the threat degree of the flying target, including four indexes of the flying target distance, the flying target course speed, the flying target course angle and the flying target RCS.
(2) And constructing a judgment matrix according to the judgment indexes. Referring to fig. 3, for a target layer a ("low-slow-small" flying target threat degree sorting "), a judgment matrix a is constructed by using a 1-9 scale method for four indexes B1 (flying target distance), B2 (flying target course speed), B3 (flying target course angle) and B4 (flying target RCS value), as follows:
Figure BDA0002476705230000062
wherein the 1-9 scale method is shown in Table 1:
TABLE 1
Figure BDA0002476705230000063
Figure BDA0002476705230000071
(3) And calculating the weight of the judgment index according to the judgment matrix.
The first step is as follows: calculating the product M of each row element of the judgment matrix Ai' {105, 5, 1/5, 1/105 }; such as: 105 ═ 1 × 3 × 5 × 7.
The second step is that: calculating the product MiN (n is the order of the matrix, n is 4) th-order root
Figure BDA0002476705230000072
The third step: computing
Figure BDA0002476705230000073
W' is a weight, and {0.564,0.263,0.118,0.055 }.
(4) And authenticating the weight.
The first step is as follows: calculating the maximum characteristic root of the judgment matrix A
Figure BDA0002476705230000074
Figure BDA0002476705230000075
Calculating to obtain lambdamax＝4.1165。
The second step is that: calculating and judging the deviation consistency of the matrix A to obtain an index CI:
CI＝(λmax-n)/(n-1)＝(4.1165-4)/(4-1)≈0.039
the third step: the average random consensus indicator RI was obtained by looking up a table (table 2), and since n is 4, RI is 0.90.
TABLE 2
1 2 3 4 5 6 7 8 9
0.00 0.00 0.58 0.90 1.12 1.24 1.32 1.41 1.45
The fourth step: calculating a random consistency ratio CR:
CR＝CI/RI＝0.039/0.90≈0.04315<0.1
therefore, the judgment matrix A has satisfactory consistency. Therefore, the weights W ' of B1 (flying target distance), B2 (flying target course speed), B3 (flying target course angle) and B4 (flying target RCS value) are valid, and preparation is provided for calculating the threat degree of each ' low-slow-small ' flying target in real time.
After the weight of the judgment index is obtained, the threat degree value of each flight target can be calculated in real time according to the starting data after the normalization processing, and the specific calculation process is as follows:
(1) carrying out standardization processing on the acquired starting data of the unmanned aerial vehicle to obtain a membership value α of a target course angleiMembership value d of target distanceiAnd the membership value u of the target course speediAnd membership value β of radar reflection cross sectioni。
(2) Calculating the real-time threat degree value T of each ' low-slow small ' flying target by combining the weight W ' of the judgment indexi：
Ti＝uiW1+diW2+αiW3+βiW4Is introduced into the concreteBy numerical value, i.e. the threat degree value T can be calculatedi. The threat value T obtainediAnd a decision basis is provided for subsequent disposal of the unmanned aircraft with high threat degree, for example, managers can drive the flight target according to the threat degree value or directly knock down the flight target.
As shown in fig. 2, this embodiment further provides a flight target threat degree identification system based on an analytic hierarchy process, including:
the data acquisition module is used for acquiring radar data, and the radar data comprises starting data of a plurality of flight targets;
the data processing module is used for updating the record table of the flight target according to the starting data and carrying out standardized processing on the starting data;
and the identification module is used for calculating the corresponding threat degree value of the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result.
The flight target threat degree identification system based on the analytic hierarchy process can execute the flight target threat degree identification method based on the analytic hierarchy process provided by the method embodiment of the invention, can execute any combination implementation steps of the method embodiment, and has corresponding functions and beneficial effects of the method.
The embodiment also provides a flight target threat degree recognition device based on the analytic hierarchy process, which includes:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the method described above.
The flight target threat degree identification device based on the analytic hierarchy process can execute the flight target threat degree identification method based on the analytic hierarchy process provided by the method embodiment of the invention, can execute any combination implementation steps of the method embodiment, and has corresponding functions and beneficial effects of the method.
It will be understood that all or some of the steps, systems of methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.

Claims (10)

1. A flight target threat degree identification method based on an analytic hierarchy process is characterized by comprising the following steps:
acquiring radar data, wherein the radar data comprises starting data of a plurality of flight targets;
updating the record table of the flight target according to the starting data, and normalizing the starting data;
and calculating a threat degree value corresponding to the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result.
2. The flight target threat degree identification method based on the analytic hierarchy process of claim 1, wherein the starting data comprises a target course angle, a target distance, a target course speed and a radar reflection sectional area, and the normalization processing of the starting data comprises:
carrying out non-dimensionalization processing on parameters in the batch of data by adopting a membership function to obtain a membership value of a target course angle, a membership value of a target distance, a membership value of a target course speed and a membership value of a radar reflection sectional area;
and the membership value of the target course angle, the membership value of the target distance, the membership value of the target course speed and the membership value of the radar reflection sectional area are constrained in dimensionless data between 0 and 1.
3. The flight target threat degree identification method based on the analytic hierarchy process as claimed in claim 2, further comprising a step of obtaining a weight of a judgment index of the threat degree of the flight target, specifically:
determining judgment indexes of the threat degree of the flying target, wherein the judgment indexes comprise a target course angle, a target distance, a target course speed and a radar reflection sectional area;
constructing a judgment matrix according to the judgment indexes;
and calculating the weight of the judgment index according to the judgment matrix.
4. The flight target threat degree identification method based on the analytic hierarchy process as claimed in claim 3, further comprising a step of performing effective authentication on the weight, specifically:
calculating the maximum characteristic root of the judgment matrix by combining the judgment matrix and the weight;
calculating and judging a deviation consistency index of the matrix according to the maximum characteristic root;
acquiring an average random consistency index, and acquiring a random consistency ratio by combining the deviation consistency index and the average random consistency index;
and determining that the detected random consistency ratio is smaller than a threshold value, and judging that the weight is effective.
5. The method for identifying the threat degree of the flight target based on the analytic hierarchy process as claimed in claim 4, wherein the calculating the threat degree value corresponding to the flight target by combining the normalized starting data and the analytic hierarchy process to obtain the threat degree identification result comprises:
and calculating a threat degree value corresponding to the flying target by combining the membership value of the target course angle, the membership value of the target distance, the membership value of the target course speed, the membership value of the radar reflection sectional area and the weight, and obtaining a threat degree identification result.
6. The flight target threat degree identification method based on the analytic hierarchy process as claimed in claim 2, wherein the calculation of the membership value of the target course speed comprises the following steps:
acquiring a membership value of the target course speed by combining the target course speed and a first preset formula;
the first preset formula is as follows:
Figure FDA0002476705220000021
where v is the target heading speed and u (v) has a value between [0.1,1 ].
7. The flight target threat degree identification method based on the analytic hierarchy process as claimed in claim 2, wherein the calculation of the membership value of the radar reflection sectional area comprises the following steps:
acquiring a membership value of the radar reflection sectional area by combining the radar reflection sectional area and a second preset formula;
the second preset formula is as follows:
β(s)＝0.9(1-e(-2s))+0.1
wherein s is the radar reflection cross section area, and β(s) is between [0.1,1 ].
8. The flight target threat degree identification method based on the analytic hierarchy process as claimed in claim 2, wherein the calculation of the membership value of the target course angle comprises the following steps:
acquiring a membership value of the target course angle by combining the target course angle and a third preset formula;
the third preset formula is as follows:
Figure FDA0002476705220000022
where θ is the target distance, and a (θ) has a value between [0, 1 ].
9. A flight target threat level identification system based on an analytic hierarchy process, comprising:
the data acquisition module is used for acquiring radar data, and the radar data comprises starting data of a plurality of flight targets;
the data processing module is used for updating the record table of the flight target according to the starting data and carrying out standardized processing on the starting data;
and the identification module is used for calculating the corresponding threat degree value of the flight target by combining the normalized starting data and the analytic hierarchy process to obtain a threat degree identification result.
10. A flight target threat degree recognition device based on an analytic hierarchy process is characterized by comprising the following steps:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement an analytic hierarchy process-based flight target threat level identification method of any one of claims 1-8.
CN202010366594.3A 2020-04-30 2020-04-30 Flight target threat degree identification method, system and device based on analytic hierarchy process Active CN111413680B (en)

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