CN113824512B - Large-scale antenna adjustment and measurement method, test equipment and computer equipment - Google Patents
Large-scale antenna adjustment and measurement method, test equipment and computer equipment Download PDFInfo
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- CN113824512B CN113824512B CN202111069181.XA CN202111069181A CN113824512B CN 113824512 B CN113824512 B CN 113824512B CN 202111069181 A CN202111069181 A CN 202111069181A CN 113824512 B CN113824512 B CN 113824512B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/10—Monitoring; Testing of transmitters
- H04B17/101—Monitoring; Testing of transmitters for measurement of specific parameters of the transmitter or components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/10—Monitoring; Testing of transmitters
- H04B17/15—Performance testing
- H04B17/17—Detection of non-compliance or faulty performance, e.g. response deviations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
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- 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
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Abstract
The invention provides a large-scale antenna adjustment and measurement method, test equipment and computer equipment, wherein the adjustment and measurement method comprises the following steps: acquiring amplitude and phase information of each port of a first subarray and a second subarray of the large-scale antenna; judging whether the amplitude and the phase of each subarray are qualified or not; calculating amplitude and phase information of any first subarray and any second subarray to be measured after combination through computer equipment to obtain all qualified matching data; obtaining an optimal matching relation among subarrays by adopting a preset matching algorithm, and generating a matching information base; and assembling according to the information of the matching relation library. The invention also provides a large-scale antenna adjustment and measurement device and a computer device, which comprise a multi-path matrix switch, a network analyzer, computer hardware and an application program. According to the invention, the combination relation of the subarrays is determined through the preset matching algorithm by saving the product amplitude and phase information, and the production is arranged through an informatization means, so that the adjustment work amount is reduced, and the production efficiency is improved.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method for adjusting and testing a large-scale antenna, a test device, and a computer device.
Background
In 5G and future 6G base stations, large-scale antennas, i.e. Massive antennas, are mostly adopted, and a radio frequency part and an antenna part are integrated in an AAU (Active Antenna Unit, active antenna processing unit), and the AAU realizes beam forming of signals by controlling the amplitude and phase difference of each path of antenna array element in an antenna array, so that gain transmission is directionally improved, and cell spectrum efficiency can be greatly improved, and capacity and coverage area are improved.
Specifically, the influence of factors such as welding process and assembly error of the antenna can increase the amplitude and phase difference among ports in the antenna array, so that when signals sent by the antenna array reach a far field to carry out beam forming, the larger error among array elements causes deviation of the direction and gain of the beam and reduces the overall performance of the antenna. Therefore, the amplitude and the phase of each port at each frequency point in the working frequency band of the antenna can be tested in the production and inspection processes of the product, and the deviation value between the amplitude and the phase of each port must be within a specified tolerance range. A Massive antenna typically uses 64 or 128 or more ports to transmit signals, and the feed network is very complex, requiring a PCB with a large area to make the feed network. Because the PCB area is large, the manufacturing process is difficult, the cost is high, the feed network is divided into two parts to design in the design and manufacturing process so as to reduce the cost, and meanwhile, the Massive antenna is also divided into two mutually independent first subarrays and second subarrays, and the two subarrays are assembled together to form the Massive antenna.
As shown in fig. 1, the Massive antenna is composed of a first sub-array and a second sub-array, wherein P1-Pn are feed ports of the first sub-array, and Q1-Qn are feed ports of the second sub-array. The amplitude and phase values of the feed ports of the two subarrays show that certain distribution errors exist. It is highly likely that the amplitude and phase offset values between the P1-Pn ports of the first sub-array are within tolerance, while the amplitude and phase offset values between the Q1-Qn ports of the second sub-array are also within tolerance, but after the two are assembled together, the amplitude and phase offset values between the P1-Pn and Q1-Qn ports are outside tolerance, so that matching between the sub-arrays becomes a critical step. The frequency points and ports in the working frequency band of the antenna are numerous, the unqualified phenomenon is reduced by correct adjustment and measurement, the qualification rate of products is improved, the adjustment and measurement workload is reduced, and the production efficiency is improved.
Disclosure of Invention
The invention provides a large-scale antenna adjustment and measurement method, test equipment and computer equipment, which are used for solving the defects in the prior art.
In a first aspect, the present invention provides a method for large-scale antenna tuning, comprising:
acquiring a first subarray and a second subarray of a large-scale antenna, and acquiring amplitude information and phase information of each port in the first subarray and the second subarray through test equipment respectively;
if the amplitude information and the phase information are calculated and judged to be qualified, the amplitude information and the phase information are stored, and the corresponding qualified subarrays are subjected to warehouse entry processing;
calculating and obtaining combined amplitude information and combined phase information of all ports after any qualified first subarray and any qualified second subarray are combined;
calculating to obtain all qualified matching data based on the combined amplitude information and the combined phase information;
based on a preset matching algorithm, calculating to obtain a matching relation library from the qualified matching data;
and acquiring corresponding first subarrays and second subarrays according to the matching relation library, and performing adjustment and measurement assembly of the large-scale antenna.
In one embodiment, the acquiring the first sub-array and the second sub-array of the large-scale antenna respectively acquires the amplitude information and the phase information of each port in the first sub-array and the second sub-array through a test device, and then further includes:
and if the amplitude information and the phase information are judged to be unqualified, repairing the unqualified subarray products.
In one embodiment, said calculating based on said combined amplitude information and said combined phase information to obtain all qualified match data comprises:
calculating the maximum deviation of the combined amplitude information and the maximum deviation of the combined phase information;
and if the maximum deviation of the amplitude and the maximum deviation of the phase are judged to be in the preset deviation range, judging that the combined amplitude information and the combined phase information are qualified, and obtaining the qualified matching data.
In one embodiment, the calculating the matching relation library based on the preset matching algorithm from the qualified matching data includes:
establishing a bipartite graph according to the qualified matching data;
based on the bipartite graph, obtaining the maximum matching relation between the subarrays by adopting a Hungary algorithm, or obtaining the optimal matching relation between the subarrays by adopting a KM algorithm;
and constructing the matching relation library based on the maximum matching relation or the best matching relation.
In a second aspect, the present invention also provides a large-scale antenna test apparatus comprising:
a multi-path matrix switch and a network analyzer;
the multi-path matrix switch is connected with the network analyzer through preset electric connection;
the output ports of the multi-path matrix switch are connected with ports in the large-scale antenna;
the radio frequency port of the network analyzer is connected with the input port of the multi-path matrix switch.
In one embodiment, the predetermined electrical connection comprises a network cable, a USB cable, or a GPIB bus.
In a third aspect, the present invention also provides a large-scale antenna computer apparatus comprising:
a processor, a memory, a communication interface, a display device and an input device connected by a bus system;
the processor is configured to provide computing power and control power;
the memory comprises a nonvolatile storage medium and an internal memory, wherein the nonvolatile storage medium is used for storing an operating system, a computer database and a computer program, and the internal memory is used for providing an operating environment for the operating system, the computer database and the computer program;
the communication interface is used for communicating with the test equipment.
In a fourth aspect, the present invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the calculations involved in a large-scale antenna tuning method as described in any one of the above when the program is executed.
In a fifth aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the calculations involved in a method of massive antenna tuning as described in any of the above.
In a sixth aspect, the invention also provides a computer program product comprising a computer program which when executed by a processor performs the steps of the calculations involved in a large-scale antenna tuning method as described in any of the above.
According to the large-scale antenna adjustment and measurement method, the test equipment and the computer equipment, provided by the invention, the combination relation of the subarrays is determined through the preset matching algorithm by saving the product amplitude and phase information, and the production is arranged through an informatization means, so that the qualification rate of products is improved, the adjustment and measurement workload is reduced, and the production efficiency is improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a Massive antenna provided in the prior art;
fig. 2 is a schematic flow chart of a method for tuning a large-scale antenna according to the present invention;
FIG. 3 is a schematic illustration of bipartite graph and weighted bipartite graph provided by the present invention;
fig. 4 is a schematic diagram of the result of the hungarian algorithm provided by the invention;
fig. 5 is a diagram illustrating calculation of weighted bipartite graph according to KM algorithm provided by the present invention;
FIG. 6 is a bipartite graph and weighted bipartite graph intent of the Massive antenna configuration provided by the present invention;
FIG. 7 is a schematic diagram of the structure of the test apparatus and the computer apparatus provided by the present invention;
fig. 8 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Aiming at the limitations existing in the prior art, the method for adjusting and measuring the large-scale antenna provided by the invention, as shown in fig. 2, comprises the following steps:
s1, acquiring a first subarray and a second subarray of a large-scale antenna, and acquiring amplitude information and phase information of each port in the first subarray and the second subarray through test equipment respectively;
s2, if the amplitude information and the phase information are calculated, judged and obtained to be qualified, the amplitude information and the phase information are stored, and the corresponding qualified subarrays are subjected to warehouse entry processing;
s3, calculating and obtaining all port combination amplitude information and combination phase information after any qualified first subarray and any qualified second subarray are combined;
s4, calculating and obtaining all qualified matching data based on the combined amplitude information and the combined phase information;
s5, calculating to obtain a matching relation library from the qualified matching data based on a preset matching algorithm;
s6, acquiring corresponding first subarrays and second subarrays according to the matching relation library, and performing large-scale antenna adjustment and measurement assembly.
The method for acquiring the amplitude information and the phase information of each port in the first subarray and the second subarray of the large-scale antenna respectively comprises the following steps of:
and if the amplitude information and the phase information are obtained through calculation and judgment, the unqualified subarray products are repaired.
Wherein, based on the combined amplitude information and the combined phase information, all qualified matching data are obtained through calculation, and the method comprises the following steps:
calculating the maximum deviation of the combined amplitude information and the maximum deviation of the combined phase information;
and if the maximum deviation of the amplitude and the maximum deviation of the phase are judged to be in the preset deviation range, judging that the combined amplitude information and the combined phase information are qualified, and obtaining the qualified matching data.
The matching relation library is obtained by calculating the qualified matching data based on a preset matching algorithm, and comprises the following steps:
establishing a bipartite graph according to the qualified matching data;
based on the bipartite graph, obtaining the maximum matching relation between the subarrays by adopting a Hungary algorithm, or obtaining the optimal matching relation between the subarrays by adopting a KM algorithm;
and constructing the matching relation library based on the maximum matching relation or the best matching relation.
Specifically, the method acquires the amplitude and phase information of each port of the antenna working frequency points of the first subarray and the second subarray of the Massive antenna through test equipment; the amplitude and phase information signals of each port are transmitted to the computer equipment through a network cable, a USB line or a GPIB bus.
Judging whether the amplitude and phase difference values of all working frequency points of all subarrays are qualified or not by using a computer application program; and repairing the unqualified subarray, combining information of the grid array, and storing the information into a computer database, wherein the subarray product enters a storage position or station.
Further, calculating the maximum deviation of the amplitude and the phase after the first subarrays and the second subarrays which are required to be adjusted and assembled are combined in pairs by using a computer application program, and if the maximum deviation is within the tolerance range, obtaining qualified matching; and establishing a bipartite graph through the qualified matching data of the computer application program, and obtaining an optimal matching relation between subarrays by adopting a Hungary algorithm or a KM algorithm to generate an optimal matching computer database.
And finally, performing adjustment and measurement assembly according to the maximum or optimal matching computer database.
It should be noted that, the technical terms related to the present invention include:
1. bipartite graph and weighted bipartite graph: the bipartite graph is a special model in graph theory. Let G be an undirected graph, if the vertex set can be divided into two mutually disjoint subsets X and Y, and two vertices in the graph, connected by each line of the edge set, are one in X and the other in Y, then the graph G is called a bipartite graph, on the basis of which, if the lines are given a certain weight, such bipartite graph is a weighted bipartite graph.
As shown in the left diagram (a) of fig. 3, G is a bipartite graph, and vertex sets X { X1, X2, X3, X4} and vertex sets { Y1, Y2, Y3, Y4} are mutually disjoint, and a total of 7 connecting lines constitute edge sets { X1Y1, X1Y4, X2Y1, X3Y2, X3Y3, X4Y4}. As shown in the right graph (B) of fig. 3, a weighted bipartite graph is formed by adding a weight value to each connection line on the basis of the bipartite graph.
2. Matching, maximum matching, complete matching, best matching: in a sub-graph of the undirected graph G, any two edges in the edge set of the sub-graph are not attached to the same vertex, the sub-graph is called a match, and the sub-graph with the largest number of edges in the sub-graph is called the maximum match of the graph. If each vertex in the graph is associated with an edge in the graph, the match is referred to as a perfect match, and the match with the greatest weight addition in the weighted bipartite graph subgraph is referred to as the best match, i.e., the perfect match with the greatest total weight.
3. Hungarian algorithm: aiming at the biggest matching problem of bipartite graphs, a combination optimization algorithm for solving the task allocation problem is proposed by a hungarian math Edmonds in 1965. The specific principle is as follows: a path is found from the bipartite graph, so that the starting point and the end point of the path are points which are not matched yet, and the connecting line of the path is alternately formed by that one connecting line which is not matched yet, one connecting line which is matched yet, and the next connecting line which is not matched yet. After such a path is found, it is obvious that there is one more line in the path that is not matched than the line that has already been matched, and then the matching graph is modified, all the lines that have been matched in the path are removed from the matching relationship, and the lines that have not been matched are changed into matching, so that the number of matches is 1 more than the original number, and the above operations are continuously performed until such a path cannot be found, so that the maximum match is obtained.
As shown in fig. 4, the maximum matching of the bipartite graph (a) in fig. 3 can be obtained by using the hungarian algorithm, and there are 4 lines in total.
4. KM (Kuhn-Munkres) algorithm: the KM algorithm is used for searching an algorithm for best matching of weighted bipartite graphs, and comprises the following specific steps:
(a) Initializing a viable stem
(b) Searching for perfect matches using hungarian algorithm
(c) If the best match is not found, modifying the viable stem
(d) Repeating (b) (c) until a best match of equal subgraphs is found
As shown in fig. 5, a KM algorithm is adopted to find a complete match, so that 3 complete matches of the weighted bipartite graph of the right graph (B) in fig. 3 can be obtained, wherein the total weights are different, and the total weight of the C part is the largest, namely the best match.
As shown in fig. 6, the computer application program uses the first sub-array number as the vertex number, establishes the subset X, and marks X1 and X2 … Xn, uses the second sub-array number as the vertex number, establishes the subset Y, and marks Y1 and Y2 … Yn, and assigns True to the qualified match of the two sub-arrays, so as to complete the establishment of the bipartite graph, and obtains the maximum match of the bipartite graph, that is, realizes the matching of the first sub-array and the second sub-array as the whole antenna as possible through the hungarian algorithm. And storing the maximum matching information into a database.
One of the schemes that the hungarian algorithm can obtain the maximum matching is to use the KM algorithm if the first sub-array and the second sub-array are to be matched as much as possible to the whole antenna, and the maximum deviation of the amplitude and the phase after the matching is as small as possible.
As shown in fig. 6, the computer application programs set up a subset X, denoted as X1, X2 … Xn, set up a subset Y, denoted as Y1, Y2 … Yn,
and if the two are qualified, a weight calculation formula is adopted to calculate the amplitude Xiang Quan value, wherein the weight calculation formula principle is that the smaller the amplitude and phase deviation is, the higher the amplitude and phase weight is. If the amplitude and phase deviation value is 0, the value is assigned as 10 points, the criterion of meeting the criterion is marked as 1 point, the middle is linearly marked to obtain the amplitude weight and the phase weight, and then the average value of the amplitude weight and the phase weight is marked as the average weight. The above weight calculation method is merely an example, and the method may be adopted without limitation. If the two are not qualified, marking the amplitude-phase weight as 0;
after the weighted bipartite graph is established, the computer application program obtains the best matching of the weighted bipartite graph through a KM algorithm, namely, the first subarray and the second subarray are matched as much as possible, and the maximum deviation of the total amplitude and the phase after the complete antenna machine is matched is as small as possible. And storing the best matching information into a database.
According to the invention, the combination relation of the subarrays is determined through the preset matching algorithm by storing the product amplitude and phase information, and the production is arranged through an informatization means, so that the qualification rate of the product is improved, the adjustment and measurement workload is reduced, and the production efficiency is improved.
Based on the above embodiment, the present invention further provides a large-scale antenna test apparatus, including:
a multi-path matrix switch and a network analyzer;
the multi-path matrix switch is connected with the network analyzer through preset electric connection;
the output ports of the multi-path matrix switch are connected with ports in the large-scale antenna;
the radio frequency port of the network analyzer is connected with the input port of the multi-path matrix switch.
Wherein the preset electrical connection comprises a network cable, a USB cable or a GPIB bus.
Specifically, as shown in fig. 7, a Massive antenna test device 100, where the test device 100 is composed of a multi-path matrix switch 101 and a network analyzer 102, where a radio frequency port of the network analyzer 102 is connected to an input port of the multi-path matrix switch 101, and an output port of the multi-path matrix switch 102 is connected to each port of the Massive antenna; the network analyzer 102 and the multiplexing matrix switch 101 are connected through a network cable, a USB cable, or a GPIB bus.
The network analyzer is a comprehensive microwave measuring instrument capable of scanning and measuring in a wide frequency band to determine network parameters, and the network analyzer 102 is used for measuring complex scattering parameters of two radio frequency networks and giving amplitude and phase values of each scattering parameter in a sweep frequency mode.
The function realized by the multi-path matrix switch 101 is to realize complex switching functions such as switching between two paths and multiple paths, the input port of the multi-path matrix switch 101 is connected with the test port of the network analyzer 102, the output port of the multi-path matrix switch 101 is connected with each port of the Massive antenna subarray, and the switching of the switch is controlled by the internal program of the multi-path matrix switch 101, so that any 2 ports of the Massive antenna subarray can be connected in sequence by the network analyzer, and the amplitude and phase of all ports of the Massive antenna subarray can be measured.
Based on any of the above embodiments, the present invention further provides a large-scale antenna computer apparatus, comprising:
a processor, a memory, a communication interface, a display device and an input device connected by a bus system;
the processor is configured to provide computing power and control power;
the memory comprises a nonvolatile storage medium and an internal memory, wherein the nonvolatile storage medium is used for storing an operating system, a computer database and a computer program, and the internal memory is used for providing an operating environment for the operating system, the computer database and the computer program;
the communication interface is used for communicating with the test equipment.
Specifically, fig. 7 also provides a computer device 200, where the computer device 200 may be a terminal or a server. The computer device 200 includes a processor, memory, communication interface, display device, and input means connected by a system bus. Wherein the processor of the computer device 200 is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer database, and a computer program. The internal memory provides an environment for the operation of the operating system, computer databases, and computer programs in the non-volatile storage media. The communication interface of the computer device is used for communicating with the test device. The computer program is executed by the processor to implement a corresponding function in a passive antenna tuning method. The display device of the computer device can be a CRT display, a liquid crystal display device or an electronic ink display device, and the input device of the computer device can be a touch layer covered on the display, can also be a key, a track ball or a touch pad arranged on the shell of the computer device, and can also be an external keyboard, a touch pad or a mouse, etc.
The computer device 200 is connected with the test device 100 through a network cable, a USB cable or a GPIB bus connection, and exchanges data with the test device 100 to realize control of the test device 100.
Fig. 8 illustrates a physical structure diagram of an electronic device, as shown in fig. 8, which may include: processor 810, communication interface (Communications Interface) 820, memory 830, and communication bus 840, wherein processor 810, communication interface 820, memory 830 accomplish communication with each other through communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform a large-scale antenna tuning method comprising: acquiring a first subarray and a second subarray of a large-scale antenna, and acquiring amplitude information and phase information of each port in the first subarray and the second subarray through test equipment respectively; if the amplitude information and the phase information are calculated and judged to be qualified, the amplitude information and the phase information are stored, and the corresponding qualified subarrays are subjected to warehouse entry processing; calculating and obtaining combined amplitude information and combined phase information of all ports after any qualified first subarray and any qualified second subarray are combined; calculating to obtain all qualified matching data based on the combined amplitude information and the combined phase information; based on a preset matching algorithm, calculating to obtain a matching relation library from the qualified matching data; and acquiring corresponding first subarrays and second subarrays according to the matching relation library, and performing adjustment and measurement assembly of the large-scale antenna.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of performing the method for large-scale antenna tuning provided by the above methods, the method comprising: acquiring a first subarray and a second subarray of a large-scale antenna, and acquiring amplitude information and phase information of each port in the first subarray and the second subarray through test equipment respectively; if the amplitude information and the phase information are calculated and judged to be qualified, the amplitude information and the phase information are stored, and the corresponding qualified subarrays are subjected to warehouse entry processing; calculating and obtaining combined amplitude information and combined phase information of all ports after any qualified first subarray and any qualified second subarray are combined; calculating to obtain all qualified matching data based on the combined amplitude information and the combined phase information; based on a preset matching algorithm, calculating to obtain a matching relation library from the qualified matching data; and acquiring corresponding first subarrays and second subarrays according to the matching relation library, and performing adjustment and measurement assembly of the large-scale antenna.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform a method of massive antenna tuning provided by the above methods, the method comprising: acquiring a first subarray and a second subarray of a large-scale antenna, and acquiring amplitude information and phase information of each port in the first subarray and the second subarray through test equipment respectively; if the amplitude information and the phase information are calculated and judged to be qualified, the amplitude information and the phase information are stored, and the corresponding qualified subarrays are subjected to warehouse entry processing; calculating and obtaining combined amplitude information and combined phase information of all ports after any qualified first subarray and any qualified second subarray are combined; calculating to obtain all qualified matching data based on the combined amplitude information and the combined phase information; based on a preset matching algorithm, calculating to obtain a matching relation library from the qualified matching data; and acquiring corresponding first subarrays and second subarrays according to the matching relation library, and performing adjustment and measurement assembly of the large-scale antenna.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. The method for adjusting the large-scale antenna is characterized by comprising the following steps:
acquiring a first subarray and a second subarray of a large-scale antenna, and acquiring amplitude information and phase information of each port in the first subarray and the second subarray through test equipment respectively;
if the amplitude information and the phase information are calculated and judged to be qualified, the amplitude information and the phase information are stored, and the corresponding qualified subarrays are subjected to warehouse entry processing;
calculating and obtaining combined amplitude information and combined phase information of all ports after any qualified first subarray and any qualified second subarray are combined;
calculating to obtain all qualified matching data based on the combined amplitude information and the combined phase information;
based on a preset matching algorithm, calculating to obtain a matching relation library from the qualified matching data;
acquiring corresponding first subarrays and second subarrays according to the matching relation library, and performing adjustment and measurement assembly of the large-scale antenna;
and calculating to obtain all qualified matching data based on the combined amplitude information and the combined phase information, wherein the method comprises the following steps of:
calculating the maximum deviation of the combined amplitude information and the maximum deviation of the combined phase information;
and if the maximum deviation of the amplitude and the maximum deviation of the phase are judged to be in the preset deviation range, judging that the combined amplitude information and the combined phase information are qualified, and obtaining the qualified matching data.
2. The method for adjusting and measuring a large-scale antenna according to claim 1, wherein the steps of obtaining the first sub-array and the second sub-array of the large-scale antenna respectively obtain the amplitude information and the phase information of each port in the first sub-array and the second sub-array through a test device, and then further comprise:
and if the amplitude information and the phase information are judged to be unqualified, repairing the unqualified subarray products.
3. The method for massive antenna tuning according to claim 1, wherein the calculating, based on a preset matching algorithm, a matching relation library from the qualified matching data includes:
establishing a bipartite graph according to the qualified matching data;
based on the bipartite graph, obtaining the maximum matching relation between the subarrays by adopting a Hungary algorithm, or obtaining the optimal matching relation between the subarrays by adopting a KM algorithm;
and constructing the matching relation library based on the maximum matching relation or the best matching relation.
4. A large-scale antenna test apparatus for performing the test steps involved in the large-scale antenna tuning method as claimed in any one of claims 1 to 3, comprising: a multi-path matrix switch and a network analyzer;
the multi-path matrix switch is connected with the network analyzer through preset electric connection;
the output ports of the multi-path matrix switch are connected with ports in the large-scale antenna;
the radio frequency port of the network analyzer is connected with the input port of the multi-path matrix switch.
5. The large-scale antenna test apparatus of claim 4, wherein the predetermined electrical connection comprises a network cable, a USB cable, or a GPIB bus.
6. A massive antenna computer apparatus for performing the massive antenna tuning method according to any one of claims 1 to 3, comprising: a processor, a memory, a communication interface, a display device and an input device connected by a bus system;
the processor is configured to provide computing power and control power;
the memory comprises a nonvolatile storage medium and an internal memory, wherein the nonvolatile storage medium is used for storing an operating system, a computer database and a computer program, and the internal memory is used for providing an operating environment for the operating system, the computer database and the computer program;
the communication interface is used for communicating with the test equipment.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, performs the computational steps involved in the large-scale antenna tuning method of any one of claims 1 to 3.
8. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the calculation steps involved in the large-scale antenna tuning method according to any one of claims 1 to 3.
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