A knowledge-assisted airborne weather radar detection effect evaluation method

Abstract

The present application belongs to the field of airborne weather radar, and particularly relates to a kind of airborne weather radar detection effect evaluation method based on knowledge assistance, correct detection rate of weather radar is obtained by comparing and calculating through airborne weather radar display picture and ground-based network radar display picture, through terrain elevation information, get clutter region, according to weather radar display and ground-based radar display comparison calculation in clutter region weather radar clutter suppression ratio, weather detection effect evaluation is carried out by correct detection rate and clutter suppression ratio. The method does not depend on artificial experience to select correct detection area and clutter area, and the system correct detection rate and clutter suppression ratio are quantitatively calculated through automatic area selection. Therefore, the problem of large difference in manual selection in traditional method and unclear weather detection effect measurement standard is avoided, and the objectivity and universality of airborne weather radar detection effect evaluation are improved.

Description

Technical Field

[0001] This invention belongs to the field of airborne weather radar, specifically relating to a knowledge-assisted method for evaluating the detection effect of airborne weather radar. Background Technology

[0002] Airborne weather radar is installed on aircraft to detect and warn of weather conditions ahead, enabling aircraft to promptly identify hazardous weather, choose safe routes, and ensure the safety of passengers and crew. Existing airborne weather radars often operate in forward-looking and downward-looking modes, inevitably containing ground clutter in the echoes. After clutter suppression and other signal processing, the radar displays the final weather detection results. However, whether clutter remains in the final results, and whether the weather data has been suppressed, relies on the experience of technicians and reference to ground-based weather radar information. For different weather targets, it is necessary to qualitatively assess the airborne weather radar's detection accuracy and clutter suppression capability based on the technicians' meteorological knowledge and comparison with ground-based weather radar information. To address this issue, this paper proposes a knowledge-based evaluation method for airborne weather radar detection performance. This method automatically calculates the detection accuracy based on airborne and ground-based detection results, uses digital elevation maps to determine clutter areas, automatically calculates clutter suppression efficiency, and automatically calculates clutter suppression efficiency based on the relationship between airborne and ground-based radar detection results and ground clutter and beam topography.

[0003] The accuracy rate of airborne weather radar is based on the ground-based network detection results. The correct detection part is the intersection of the final display result of the airborne weather radar and the ground display. The accuracy rate of airborne weather radar is determined by the proportion of the intersection part to the ground network result. This process is a key quantitative indicator for measuring the weather detection capability of airborne weather radar.

[0004] Digital elevation maps (DEMs) are datasets of ground geographic locations and elevations, accurately reflecting terrain features. By using DEMs to calculate whether a radar beam touches the ground and the distance from the touchpoint to the aircraft, the location of clutter information in the radar echo can be determined, thus confirming the clutter range. Based on the final display of the airborne weather radar within the clutter range and the corresponding ground-based network results, the clutter suppression ratio can be calculated. This process is an important quantitative indicator for measuring the clutter suppression capability of airborne weather radar. Summary of the Invention

[0005] In view of this, the present invention provides a knowledge-assisted method for evaluating the detection effect of airborne weather radar. Using ground-based networked weather detection results as a standard, and digital elevation maps to identify clutter areas, the method calculates the accuracy of weather detection and the clutter suppression ratio to obtain a quantitative evaluation result of the weather detection effect. This method is simple and effective in implementation, and the results are objective and clear, allowing for a quantitative measurement of the detection effect of the airborne weather radar system.

[0006] To achieve the above-mentioned technical objectives, the specific technical solution adopted by the present invention is as follows:

[0007] A knowledge-assisted method for evaluating the detection effectiveness of airborne weather radar includes the following steps:

[0008] S101: Acquire ground-based radar data within the scanning range of the aircraft's airborne weather radar;

[0009] S102: Determine the correct meteorological target detection portion from the detection data of the airborne meteorological radar based on the data from the ground-based radar;

[0010] S103: Accuracy of computer-borne weather radar detection based on the correct meteorological target detection section;

[0011] S104: Acquire meteorological display data within the ground range of the airborne meteorological radar;

[0012] S105: Calculate the clutter suppression of the airborne weather radar based on the meteorological display data within the ground coverage area of ​​the airborne weather radar;

[0013] S106: Evaluate the detection performance of the airborne weather radar based on the correct detection rate and clutter suppression ratio.

[0014] Furthermore, S101 specifically involves: performing coordinate transformation on the ground-based radar reflectivity display map based on the aircraft's position and the width, azimuth, and elevation angle of the airborne weather radar's scanning beam; matching the data within the airborne weather radar's display range from the ground-based radar data; and denoting the resulting ground-matched reflectivity image as Z. g ;

[0015] Furthermore, S102 specifically involves: based on the detection and display data Z from the airborne weather radar... a , put Z a and the Z g Intersection processing is performed to obtain the overlapping portion of the meteorological observation results and form a new data Z. a1 The Z a1 This is the correct meteorological target detection section.

[0016] Furthermore, S103 specifically involves: based on the Z a1 Calculate the area S of its weather display section. a1 ; Utilizing the Z g Calculate the area S of its weather display section. g1 According to S a1 S g1 The accuracy of computer-borne weather radar (f) d .

[0017] Furthermore, S104 specifically involves: utilizing digital elevation map data, combined with the aircraft's position and scanning range information, in the Z... a and Z g The corresponding construction area is calculated separately and denoted as Z. ac and Z gc .

[0018] Furthermore, S105 specifically involves: [regarding] the Z... gc and Z ac Perform intersection and union operations to obtain the area S of the building area. c0 clutter region area S c1 and meteorological area S c2 ;

[0019] Based on the S c0 S c1 and S c2 According to (S) c1 +S c2 ) / S c0 The clutter suppression ratio f of the airborne weather radar was calculated. c .

[0020] Furthermore, S106 specifically refers to: the f d This value characterizes the reliability of meteorological target detection; a higher value indicates more accurate and reliable detection results. c This value characterizes the degree to which airborne weather radar suppresses ground clutter; a higher value indicates better suppression of false alarms in the detection results.

[0021] By adopting the above technical solution, the present invention can bring the following beneficial effects:

[0022] This invention employs a knowledge-assisted evaluation method for airborne meteorological radar detection effectiveness. It utilizes ground-based networked radar maps and digital elevation maps as auxiliary knowledge information to automatically determine correct detection information and information before and after clutter suppression, and calculates the correct detection rate and clutter suppression ratio of meteorological detection. This method avoids the traditional reliance on manual experience to judge the effectiveness of meteorological detection, and quantitatively evaluates the meteorological detection results, thus improving the measurement standard for the effectiveness of airborne meteorological radar detection.

[0023] This invention patent can concisely and intuitively express the target detection effect of airborne weather radar, avoid the differences in subjective evaluation standards, improve the objectivity of evaluation standards, and can be applied to different airborne weather radar fields, with good market technology promotion prospects. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a knowledge-assisted airborne meteorological radar detection effect evaluation method in a specific embodiment of the present invention;

[0026] Figure 2 Map showing the radar beam coverage area;

[0027] Figure 3 This is a schematic diagram of excessive clutter suppression.

[0028] Figure 4 This is a schematic diagram illustrating insufficient clutter suppression. Detailed Implementation

[0029] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0030] The following specific examples illustrate the implementation of this disclosure. Those skilled in the art can easily understand other advantages and effects of this disclosure from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. This disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this disclosure. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0031] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this disclosure, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using other structures and / or functionalities besides one or more of the aspects set forth herein.

[0032] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this disclosure. The drawings only show the components related to this disclosure and are not drawn according to the number, shape and size of the components in actual implementation. In actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0033] Furthermore, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details.

[0034] In one embodiment of the present invention, a knowledge-assisted method for evaluating the detection effect of airborne weather radar is proposed, comprising the following steps:

[0035] S101: Acquire ground-based radar data within the scanning range of the aircraft's airborne weather radar;

[0036] S102: Determine the correct meteorological target detection portion from the detection data of the airborne meteorological radar based on the data from the ground-based radar;

[0037] S103: Accuracy of computer-borne weather radar detection based on the correct meteorological target detection section;

[0038] S104: Acquire meteorological display data within the ground range of the airborne meteorological radar;

[0039] S105: Calculate the clutter suppression of the airborne weather radar based on the meteorological display data within the ground coverage area of ​​the airborne weather radar;

[0040] S106: Evaluate the detection performance of the airborne weather radar based on the correct detection rate and clutter suppression ratio.

[0041] In this embodiment, step S101 specifically involves: performing coordinate transformation on the ground-based radar reflectivity display map based on the aircraft's position and the width, azimuth, and elevation angle of the airborne weather radar's scanning beam; matching the data within the airborne weather radar's display range from the ground-based radar data; and denoting the resulting ground-matched reflectivity image as Z. g ;

[0042] In this embodiment, S102 specifically involves: based on the detection and display data Z from the airborne weather radar... a , put Z a and the Z g Intersection processing is performed to obtain the overlapping portion of the meteorological observation results and form a new data Z. a1 The Z a1 This is the correct meteorological target detection section.

[0043] In this embodiment, S103 specifically refers to: based on the Z a1 Calculate the area S of its weather display section. a1 ; Utilizing the Z g Calculate the area S of its weather display section. g1 According to S a1 S g1 The accuracy of computer-borne weather radar (f) d .

[0044] In this embodiment, step S104 specifically involves: using digital elevation map data, combined with the aircraft's position and scanning range information, on the Z... a and Z g The corresponding construction area is calculated separately and denoted as Z. ac and Z gc .

[0045] In this embodiment, S105 specifically involves: adjusting the Z... gc and Z ac Perform intersection and union operations to obtain the area S of the building area. c0 clutter region area S c1 and meteorological area S c2 ;

[0046] Based on the S c0 S c1 and S c2 According to (S) c1 +S c2 ) / S c0 The clutter suppression ratio f of the airborne weather radar was calculated. c .

[0047] In this embodiment, S106 specifically refers to: the f d This value characterizes the reliability of meteorological target detection; a higher value indicates more accurate and reliable detection results. c This value characterizes the degree to which airborne weather radar suppresses ground clutter; a higher value indicates better suppression of false alarms in the detection results.

[0048] The flowchart of the knowledge-assisted airborne weather radar detection effect evaluation method in this embodiment is as follows: Figure 1As shown, this embodiment calculates the correct detection rate of the weather radar by comparing the display images of the airborne weather radar and the ground-based network radar. Using terrain elevation information, clutter areas are identified. The clutter suppression ratio of the weather radar is calculated by comparing the airborne and ground-based radar displays within the clutter areas. The weather detection effect is then evaluated using the correct detection rate and the clutter suppression ratio. This method does not rely on manual experience to select the correct detection area and clutter area. Through automatic area selection, it quantitatively calculates the system's correct detection rate and clutter suppression ratio. Therefore, it avoids the problems of large differences in manual selection and unclear standards for measuring weather detection effect in traditional methods, improving the objectivity and universality of the evaluation of airborne weather radar detection effect.

[0049] This method uses ground-based network meteorological detection results as a standard, identifies clutter areas using digital elevation maps, and quantifies the meteorological detection effectiveness by calculating the meteorological detection accuracy and clutter suppression ratio. The method is simple and effective to implement, and the results are objective and clear, allowing for a quantitative measurement of the detection performance of airborne meteorological radar systems.

[0050] The following is a more detailed description of this embodiment:

[0051] (1) Acquisition of ground-based radar display within the airborne scanning range

[0052] Given the meteorological reflectivity display data F0(Nx,Ny) of the ground-based network radar, where Nx and Ny represent the azimuth and range indices respectively, based on the aircraft position information (x,y,z) and the radar beamwidth θ w and beam scanning range θ az and heading angle θ az0 Pitch angle θ el The reflectivity display data Z within the scanning range of the airborne weather radar is calculated in F0(Nx,Ny). g (Nx,Ny).

[0053] (2) Airborne weather radar correctly detects, displays, and acquires data.

[0054] The known airborne weather radar detection data is Z. a (Nx, Ny), where Nx and Ny represent the azimuth and range indices respectively, and Z... a (Nx,Ny) and Z in step (1) g The data (Nx, Ny) undergoes intersection processing. The reflectivity data has already been categorized into four different levels (0, 1, 2, 3) based on common aviation reflectivity displays. 0 indicates no meteorological targets, while 1, 2, and 3 represent three different intensities of meteorological targets. After intersection processing, the common portions of 1, 2, and 3 are retained, while other portions are set to 0, resulting in the correct detection display Z from the airborne weather radar. a1 (Nx,Ny).

[0055] (3) Calculation of the correct detection rate of airborne weather radar

[0056] Based on Z obtained in step (2) a1 Calculate the area S of the non-zero portion of (Nx, Ny). a1 Using Z obtained in step (2) g Calculate the area S of the non-zero portion of (Nx, Ny). g1 According to S a1 S g1 Proportional computer-borne weather radar detection accuracy f d .

[0057] f d =S a1 / S g1

[0058] (4) Meteorological display and acquisition within the construction area

[0059] a) such as Figure 2 As shown, based on the aircraft's position information (x, y, z) and the radar beamwidth θ w and beam scanning range θ az and heading angle θ az0 Pitch angle θ el Calculate the radar scanning line of sight.

[0060] b) Determine the radar visible area based on the radar scanning line of sight and the digital elevation terrain database, where R1-R2 and R3-R4 are visible areas, and R2-R3 is an obstructed area.

[0061] c) Set the visible area to '1' and the obscured area to '0', and draw the binarized representation of the radar scanning range W(Nx,Ny).

[0062] d) Using the binarized representation of the region W(Nx,Ny) as the filtering window, combined with the Z obtained in step (1) g (Nx, Ny) Extracts the meteorological display results Z within the reference foundation area. gc (Nx,Ny), the filter window is combined with Z in step (2) a (Nx, Ny) Extracts the scanning range of the airborne weather radar and displays the region. a2 (Nx,Ny);

[0063] (5) Correct clutter suppression range acquisition

[0064] according to Figure 3 and Figure 4 The principle of display is based on the Z obtained in step (4). gc (Nx,Ny) and Z a2Perform intersection and union operations on (Nx, Ny) to obtain the area S of the correctly identified clutter region. c1 The area S of the correctly identified meteorological data c2 The total area is Z. gc (Nx, Ny) or Z a2 The area S of the non-zero region in (Nx, Ny) c0 .

[0065] (6) Calculation of clutter suppression ratio of airborne weather radar

[0066] The area data S obtained in step (5) c0 S c1 S c2 The clutter suppression ratio f of airborne weather radar can be calculated using the following formula. c .

[0067] f c =(S c1 +S c2 ) / S c0

[0068] (7) Evaluation of the detection effect of airborne weather radar

[0069] The accuracy f of airborne weather radar detection obtained in step (3) d The clutter suppression ratio f obtained from step (6) of the airborne weather radar detection c Quantitatively characterize the detection effect of airborne weather radar, detection accuracy f d The higher the clutter suppression ratio f c The larger the value, the better the detection results.

[0070] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A knowledge-assisted method for evaluating the detection effectiveness of airborne meteorological radar, characterized in that, Includes the following steps: S101: Acquire ground-based radar data within the scanning range of the aircraft's airborne weather radar, match the ground-based radar data with the data within the display range of the airborne weather radar screen, and record the obtained ground-based matched display reflectivity image as... ; S102: Based on the data from the ground-based radar, determine the correct meteorological target detection section from the detection data of the airborne meteorological radar, and display the detection data from the airborne meteorological radar. ; S103: Accuracy of computer-borne weather radar detection based on the correct meteorological target detection section; S104: Acquire meteorological display data within the coverage area of ​​the airborne weather radar, wherein digital elevation map data is used, combined with the aircraft's position and scanning range information, in the... and The corresponding construction area is calculated separately and denoted as follows: and ; S105: Calculate the clutter suppression of the airborne weather radar based on the meteorological display data within the ground coverage area of ​​the airborne weather radar, wherein... right and Perform intersection and union operations to obtain the area of ​​the building area. clutter region area and meteorological area ; Based on the above , and ,according to The clutter suppression ratio of airborne weather radar was calculated. ; S106: Evaluate the detection performance of the airborne weather radar based on the correct detection rate and clutter suppression ratio.

2. The knowledge-assisted airborne meteorological radar detection effect evaluation method according to claim 1, characterized in that, Specifically, S101 involves performing coordinate transformation on the ground-based radar reflectivity display map based on the aircraft's position and the width, azimuth, and pitch angle of the airborne weather radar's scanning beam.

3. The knowledge-assisted airborne meteorological radar detection effect evaluation method according to claim 2, characterized in that, Specifically, S102 involves: putting... and stated Intersection processing is performed to obtain the overlapping portions of the meteorological observation results and form new data. The This is the correct meteorological target detection section.

4. The knowledge-assisted airborne meteorological radar detection effect evaluation method according to claim 3, characterized in that, Specifically, S103 is: based on the above Calculate the area of ​​its weather display section. ; Using the Calculate the area of ​​its weather display section. ;according to occupy The proportion of computer-borne weather radar accuracy detection rate .

5. The knowledge-assisted airborne weather radar detection effect evaluation method according to claim 4, characterized in that, Specifically, S106 is: This value characterizes the reliability of meteorological target detection; a higher value indicates more accurate and reliable detection results. This value characterizes the degree to which airborne weather radar suppresses ground clutter; a higher value indicates better suppression of false alarms in the detection results.

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