CN117171988A - Radio frequency simulation triplet weighting coefficient calculation method - Google Patents
Radio frequency simulation triplet weighting coefficient calculation method Download PDFInfo
- Publication number
- CN117171988A CN117171988A CN202311092994.XA CN202311092994A CN117171988A CN 117171988 A CN117171988 A CN 117171988A CN 202311092994 A CN202311092994 A CN 202311092994A CN 117171988 A CN117171988 A CN 117171988A
- Authority
- CN
- China
- Prior art keywords
- triplet
- unit
- position vector
- target
- radio frequency
- 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
- 238000004088 simulation Methods 0.000 title claims abstract description 55
- 238000004364 calculation method Methods 0.000 title description 9
- 239000013598 vector Substances 0.000 claims abstract description 89
- 230000005855 radiation Effects 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000007476 Maximum Likelihood Methods 0.000 claims abstract description 11
- 238000011835 investigation Methods 0.000 claims description 2
- 238000012360 testing method Methods 0.000 abstract description 5
- 230000015654 memory Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005669 field effect Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Classifications
-
- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method for calculating a weighting coefficient of a radio frequency simulation triplet, and belongs to the technical field of semi-physical radio frequency simulation. The method comprises the following steps: establishing a mathematical coordinate system for the simulation scene; based on the established mathematical coordinate system, determining the unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving port diameter surface; and determining the weighting coefficient of each radiation unit of the semi-physical radio frequency simulation triplet with maximum likelihood of field distribution on the receiving aperture surface according to the obtained unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving aperture surface. By adopting the invention, the simulation field and the real field on the receiving aperture surface have maximum likelihood, and the near field error of the triplet is reduced, so as to meet the accuracy requirement of the semi-physical radio frequency simulation test.
Description
Technical Field
The invention relates to the technical field of semi-physical radio frequency simulation, in particular to a radio frequency simulation triplet weighting coefficient calculation method.
Background
Semi-physical simulation is an important method in modern simulation technology, which is also called physical in-loop simulation, and test data about a research and development product can be obtained more truly by accessing the actual research and development product into a simulation link. The semi-physical simulation can be divided into infrared, radio frequency and photoelectric according to different working frequency bands. For the semi-physical radio frequency simulation of the radio frequency band, a target echo signal is generated through simulation mainly through a radiation array wall. On the radiating array wall, a plurality of radiating elements are regularly arranged. The adjacent three radiating elements are arranged in a regular triangle to form a triplet. The radiation array wall is spherical, and a three-axis turntable is arranged at the center of the radiation array wall. When the echo of a point target (specifically, the point target to be simulated, simply referred to as a target) in a certain azimuth in a space is required to be simulated, firstly selecting a triplet surrounding the point target in azimuth, and then giving out the weighting coefficient of each radiation unit according to the mutual position relationship between the point target and three radiation units of the triplet. The three radiation units of the triplet work simultaneously according to the weighting coefficient, the radiation fields are overlapped in the air, and the energy flow direction of the formed composite field is just the echo energy flow direction of the point target to be simulated, so that the echo of the point target is simulated. When the point target moves, different weighting coefficients are calculated according to the positions of the point target at different moments, so that the echo of the point target in a moving state can be simulated.
In triplet-based radio frequency simulations, there is always an important problem, namely the triplet near field effect. As previously described, the weighting coefficients for each radiating element need to be calculated based on the relative positions of the point target with respect to the three radiating elements of the triplet. Then, it is conventional practice to employ a linear interpolation method. Therefore, in the calculation of the weighting coefficients of the triples, there is an important formula, namely, the amplitude center of gravity formula. The formula may represent the direction of the target point at the simulation as a linear combination of the directions of the three radiating elements of the triplet. The first approximation result given by such a calculation method is in and out of the direction of the actually simulated target point, which is the triplet near field error. The existing solution to the triplet near field error generally has an iteration method and a fitting method. The simulated angle error is obtained by experimental measurement or strict electromagnetic calculation, and the change of the weighting coefficient (which is proportional to the feed amplitude) is driven by the error, so that the simulated angle error is reduced to an acceptable level through iteration. Iterations or fits are used because a strict analytical function expression between the weighting coefficients and the simulation direction is not obtained. In addition, the existing triplet near field correction techniques also do not take into account the effects of seeker spin.
Thus, the disadvantages of the prior art are mainly: the iteration times are more, and the commonality is poor.
Disclosure of Invention
The embodiment of the invention provides a radio frequency simulation triplet weighting coefficient calculation method, which can enable a simulation field and a real field on a receiving port diameter surface to have maximum likelihood, reduce triplet near-field errors and meet the accuracy requirement of a semi-physical radio frequency simulation test. The technical scheme is as follows:
in one aspect, a method for calculating a weighting coefficient of a radio frequency simulation triplet is provided, and the method is applied to electronic equipment, and comprises the following steps:
establishing a mathematical coordinate system for the simulation scene;
based on the established mathematical coordinate system, determining the unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving port diameter surface;
and determining the weighting coefficient of each radiation unit of the semi-physical radio frequency simulation triplet with maximum likelihood of field distribution on the receiving aperture surface according to the obtained unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving aperture surface.
Further, the establishing a mathematical coordinate system for the simulation scene includes:
establishing an xyz rectangular coordinate system by taking the center point of the radiation port surface of the guide head as a coordinate origin; wherein, the radiation port surface of the seeker is taken as xy surface, two orthogonal base line directions of the seeker antenna array are x direction and y direction respectively, and the coordinate of the ith radiation unit in the triplet is (x) i ,y i ,z i )，z i >>x i ,y i I=1, 2,3, the coordinates of the object are (x, y, z), z>>x,y。
Further, determining the unit location vector for each radiating element of the triplet based on the established mathematical coordinate system comprises:
based on the established mathematical coordinate system, determining the unit position vector expression of the ith radiating element in the triplet:
according to the obtained unit position vector expression of each radiating element in the triplet, obtaining unit position vectors of three radiating elements of the triplet:
wherein,sum (u) i ,v i ,w i ) Each representing a unit location vector of the i-th radiating element in the triplet.
Further, determining the unit location vector of the target based on the established mathematical coordinate system includes:
determining unit position vector expression of the target based on the established mathematical coordinate system:
determining a unit position vector of the target according to the obtained unit position vector expression of the target:
wherein,sum (u) t ,v t ,w t ) Each representing a unit location vector of the target.
Further, the position vector of each point on the determined receiving diameter surface is expressed as:
r'＝(x,y,0),-a/2≤x≤a/2,-a/2≤y≤a/2
where r' is the position vector expression of each point on the receiving aperture surface, and a represents the side length of the square aperture surface.
Further, the weighting coefficients of the radiating elements of the triplet are expressed as:
wherein C is i The weighting coefficients for the i-th radiating element in the triplet, i=1, 2,3,is the unit position vector of the ith radiating element in the triplet,>for a unit position vector of the target, the function D represents that two unit vectors are connectedQuantitative representation of the variability on the closing diameter surface, function D is in the form of:
wherein,and->The vector variable is arbitrary unit vector variable, k is wave number, j is imaginary number unit, r' is the position vector expression of each point on the receiving aperture surface, and S is the aperture surface under investigation.
In one aspect, an electronic device is provided, which includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the above-mentioned method for calculating a radio frequency simulation triplet weighting coefficient.
In one aspect, a computer readable storage medium having stored therein at least one instruction loaded and executed by a processor to implement the above-described radio frequency simulation triplet weight coefficient calculation method is provided.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
in the embodiment of the invention, a mathematical coordinate system is established for a simulation scene; based on the established mathematical coordinate system, determining the unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving port diameter surface; and determining the weighting coefficient of each radiation unit of the semi-physical radio frequency simulation triplet with maximum likelihood of field distribution on the receiving aperture surface according to the obtained unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving aperture surface. Therefore, the simulation field and the real field on the receiving aperture surface have maximum likelihood, and the near field error of the triplet is reduced, so that the accuracy requirement of the semi-physical radio frequency simulation test is met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for calculating weighting coefficients of a radio frequency simulation triplet according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a simulation scene coordinate provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram of distribution of receiving aperture surfaces according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
Therefore, aiming at the problems of more iteration times, poor generality and the like, the embodiment of the invention provides a method for calculating the weighting coefficient of the radio frequency simulation triplet, according to the method, the weighting coefficient can be calculated more accurately and rapidly in the semi-physical radio frequency simulation, the near field error of the triplet is reduced, and a quicker and more effective method is provided for better improving the precision of the semi-physical radio frequency simulation.
As shown in fig. 1, an embodiment of the present invention provides a method for calculating a weighting coefficient of a radio frequency simulation triplet, where the method may be implemented by an electronic device, and the electronic device may be a terminal or a server, and the method includes:
s101, establishing a mathematical coordinate system for a simulation scene;
in this embodiment, as shown in fig. 2, an xyz rectangular coordinate system is established by using the center point of the radiation port surface of the seeker as the origin of coordinates; wherein the radiation port surface of the seeker is taken as xy surfaceThe two orthogonal base line directions of the seeker antenna array are the x direction and the y direction respectively, and the coordinate of the ith radiating element in the triplet is (x i ,y i ,z i )，z i >>x i ,y i I=1, 2,3, the coordinates of the object are (x, y, z), z>>x,y。
S102, determining unit position vectors of all radiation units of the triplet, unit position vectors of the target and position vector expression of each point on the receiving port diameter surface based on the established mathematical coordinate system;
in this embodiment, determining the unit location vector of each radiating element of the triplet based on the established mathematical coordinate system includes:
based on the established mathematical coordinate system, determining the unit position vector expression of the ith radiating element in the triplet:
according to the obtained unit position vector expression of each radiating element in the triplet, obtaining unit position vectors of three radiating elements of the triplet:
wherein,sum (u) i ,v i ,w i ) Each representing a unit location vector of the i-th radiating element in the triplet.
In this embodiment, determining the unit position vector of the target based on the established mathematical coordinate system includes:
determining unit position vector expression of the target based on the established mathematical coordinate system:
determining a unit position vector of the target according to the obtained unit position vector expression of the target:
wherein,sum (u) t ,v t ,w t ) Each representing a unit location vector of the target.
In this embodiment, the position vector of each point on the determined receiving aperture surface is expressed as:
r'＝(x,y,0),-a/2≤x≤a/2,-a/2≤y≤a/2 (9)
where r' is the position vector expression of each point on the receiving aperture surface, and a represents the side length of the square aperture surface.
S103, determining the weighting coefficient of each radiation unit of the semi-physical radio frequency simulation triplet with maximum likelihood of field distribution on the receiving aperture surface according to the obtained unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving aperture surface.
In this embodiment, the weighting coefficients of the radiating elements of the triplet are expressed as:
wherein C is i Representing the weight coefficient of the i-th radiating element in the triplet, i=1, 2,3,is the unit position vector of the ith radiating element in the triplet,>as a unit position vector of the target, a function D represents quantitative expression of the difference of two unit vectors on the receiving aperture surface, and the form of the function D is:
wherein,and->For any unit vector variable, k is a wave number, j is an imaginary number unit, r' is a position vector expression of each point on the receiving aperture surface, and S is the examined aperture surface, as shown in fig. 3;
substituting (9) into (11), and S is: -a/2.ltoreq.x.ltoreq.a/2, -a/2.ltoreq.y.ltoreq.a/2, calculated as:
substituting (4), 8 and 12 into (10) to obtain the weighting coefficient of each radiation unit of the triplet.
In this embodiment, by the formulas (10) and (11), the maximum likelihood between the simulation field and the real field on the receiving aperture surface can be achieved, and the triplet near field error can be reduced.
The method for calculating the weighting coefficient of the radio frequency simulation triplet in the embodiment of the invention establishes a mathematical coordinate system for a simulation scene; based on the established mathematical coordinate system, determining the unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving port diameter surface; and determining the weighting coefficient of each radiation unit of the semi-physical radio frequency simulation triplet with maximum likelihood of field distribution on the receiving aperture surface according to the obtained unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving aperture surface. Therefore, the simulation field and the real field on the receiving aperture surface have maximum likelihood, and the near field error of the triplet is reduced, so that the accuracy requirement of the semi-physical radio frequency simulation test is met.
Fig. 4 is a schematic structural diagram of an electronic device 600 according to an embodiment of the present invention, where the electronic device 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 601 and one or more memories 602, where at least one instruction is stored in the memories 602, and the at least one instruction is loaded and executed by the processors 601 to implement the above-mentioned method for calculating a weight coefficient of a radio frequency simulation triplet.
In an exemplary embodiment, a computer readable storage medium, such as a memory, comprising instructions executable by a processor in a terminal to perform the above-described radio frequency simulation triplet weight coefficient calculation method is also provided. For example, the computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The method for calculating the weighting coefficient of the radio frequency simulation triplet is characterized by comprising the following steps of:
establishing a mathematical coordinate system for the simulation scene;
based on the established mathematical coordinate system, determining the unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving port diameter surface;
and determining the weighting coefficient of each radiation unit of the semi-physical radio frequency simulation triplet with maximum likelihood of field distribution on the receiving aperture surface according to the obtained unit position vector of each radiation unit of the triplet, the unit position vector of the target and the position vector expression of each point on the receiving aperture surface.
2. The method for calculating the weighting coefficients of the radio frequency simulation triplets according to claim 1, wherein the establishing a mathematical coordinate system for the simulation scene comprises:
establishing an xyz rectangular coordinate system by taking the center point of the radiation port surface of the guide head as a coordinate origin; wherein, the radiation port surface of the seeker is taken as xy surface, two orthogonal base line directions of the seeker antenna array are x direction and y direction respectively, and the coordinate of the ith radiation unit in the triplet is (x) i ,y i ,z i )，z i >>x i ,y i I=1, 2,3, the coordinates of the object are (x, y, z), z>>x,y。
3. The method of claim 2, wherein determining the unit location vector for each radiating element of the triplet based on the established mathematical coordinate system comprises:
based on the established mathematical coordinate system, determining the unit position vector expression of the ith radiating element in the triplet:
according to the obtained unit position vector expression of each radiating element in the triplet, obtaining unit position vectors of three radiating elements of the triplet:
wherein,sum (u) i ,v i ,w i ) Each representing a unit location vector of the i-th radiating element in the triplet.
4. The method of claim 2, wherein determining a unit location vector of the target based on the established mathematical coordinate system comprises:
determining unit position vector expression of the target based on the established mathematical coordinate system:
determining a unit position vector of the target according to the obtained unit position vector expression of the target:
wherein,sum (u) t ,v t ,w t ) Each representing a unit location vector of the target.
5. The method for calculating the weighting coefficients of the radio frequency simulation triples according to claim 3, wherein the position vectors of points on the radial surface of the receiving port are determined as follows:
r'＝(x,y,0),-a/2≤x≤a/2,-a/2≤y≤a/2
where r' is the position vector expression of each point on the receiving aperture surface, and a represents the side length of the square aperture surface.
6. The method of claim 1, wherein the weighting coefficients of the radiating elements of the triplet are expressed as:
wherein C is i The weighting coefficients for the i-th radiating element in the triplet, i=1, 2,3,is the ith radiating element in the tripletUnit location vector,/, of (2)>As a unit position vector of the target, a function D represents quantitative expression of the difference of two unit vectors on the receiving aperture surface, and the form of the function D is:
wherein,and->The vector variable is arbitrary unit vector variable, k is wave number, j is imaginary number unit, r' is the position vector expression of each point on the receiving aperture surface, and S is the aperture surface under investigation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311092994.XA CN117171988A (en) | 2023-08-28 | 2023-08-28 | Radio frequency simulation triplet weighting coefficient calculation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311092994.XA CN117171988A (en) | 2023-08-28 | 2023-08-28 | Radio frequency simulation triplet weighting coefficient calculation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117171988A true CN117171988A (en) | 2023-12-05 |
Family
ID=88940444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311092994.XA Pending CN117171988A (en) | 2023-08-28 | 2023-08-28 | Radio frequency simulation triplet weighting coefficient calculation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117171988A (en) |
-
2023
- 2023-08-28 CN CN202311092994.XA patent/CN117171988A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106093898B (en) | A kind of MIMO array calibration method of subregion formula | |
| CN109581078B (en) | Directional diagram measuring system and method suitable for antenna in half-space environment | |
| CN108445303B (en) | Near-field electromagnetic scattering characteristic simulation method | |
| CN106526562B (en) | A method of based on antenna radiation pattern corrected Calculation target RCS | |
| CN107870314B (en) | Complete electromagnetic component weighting fusion direction-finding optimization method based on polarization sensitive array | |
| CN108959806B (en) | Equivalent radiation modeling method based on spherical surface near-field measurement and spherical mode source | |
| CN115267718A (en) | 360-degree detection implementation method for panoramic radar based on point cloud splicing | |
| CN109241565B (en) | Method and device for correcting sampling position error in antenna spherical surface near-field measurement | |
| CN111505394A (en) | Antenna spherical surface near field measurement method based on probe antenna position error correction | |
| CN117171988A (en) | Radio frequency simulation triplet weighting coefficient calculation method | |
| Hansen | Complex-point dipole formulation of probe-corrected cylindrical and spherical near-field scanning of electromagnetic fields | |
| CN109489658B (en) | Moving target positioning method and device and terminal equipment | |
| JP6956958B2 (en) | Estimator program, estimator and estimation method | |
| CN111965602B (en) | Phased array radar amplitude-phase consistency detection method and system | |
| CN115542024A (en) | Antenna pattern near field measurement method | |
| CN115754961A (en) | Echo generation method based on attribute scattering center near field correction model | |
| JP6375956B2 (en) | Equivalent electric field strength estimation method and radiated disturbance measurement apparatus | |
| CN113486550B (en) | Triplet feed coefficient determination method in semi-physical radio frequency simulation | |
| CN111735996A (en) | Multipath interference suppression method and device for mathematical wave-absorbing darkroom construction | |
| CN110207699B (en) | Positioning method and device | |
| CN116359621A (en) | Method and device for determining feeding coefficient of semi-physical radio frequency simulation triplet of point target | |
| CN107484119B (en) | Terminal tracking and positioning method for mobile communication system | |
| CN117784042B (en) | Calibration alignment error correction method under foil cloud measurement scene | |
| KR20220086299A (en) | Sub-dimensional three dimension near-field to far-field radar cross section transformation method | |
| CN112948756B (en) | Method and device for solving excitation value of array radiation directional diagram |
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 |