Distributed antenna position measurement method and device and storage medium

Abstract

The invention provides a distributed antenna position measurement method and device and a storage medium, and belongs to the technical field of antenna measurement, and the method comprises the steps: obtaining original antenna latitude and longitude data from RTK equipment, carrying out the coordinate conversion of the original antenna latitude and longitude data, and obtaining a target antenna latitude and longitude coordinate; the original antenna latitude and longitude data comprises an original reference test point latitude and longitude coordinate and a plurality of original distributed antenna latitude and longitude coordinates; and performing antenna measurement data analysis on the longitude and latitude coordinates of each target antenna to obtain a relative distance length predicted value and a relative elevation difference predicted value. According to the invention, the problems that the total station or the laser range finder is low in distributed antenna position measurement precision, complex in operation and limited in sight distance requirement are solved, and the debugging efficiency of distributed antenna position installation in an external field test is effectively improved; and the problem of low measurement precision of single-point positioning equipment and conventional RTK equipment on the position coordinate information of the distributed antenna is also solved.

Description

Technical Field

[0001] This invention relates to the field of antenna measurement technology, specifically to a distributed antenna position measurement method, device, and storage medium. Background Technology

[0002] In the field of radio communication technology, accurately obtaining antenna positions and their relative positions is crucial for accurate signal analysis and precise positioning, especially in short baseline time difference / phase difference reconnaissance and positioning systems, where the accuracy of distributed antenna position error measurement needs to be at the millimeter level. Traditional antenna position measurement methods have many shortcomings. For example, using total stations or laser rangefinders for distributed antenna position measurement requires certain line-of-sight requirements, has low measurement accuracy, is complex to operate, and involves a large amount of system debugging work. Using ordinary single-point BeiDou / GPS equipment to measure distributed antenna position coordinate information results in antenna position error accuracy at the meter level, which cannot meet the antenna position accuracy requirements of short baseline time difference / phase difference reconnaissance and positioning systems. Using RTK (differential carrier phase measurement) equipment can directly measure the coordinate information of two distributed antenna positions. When the distance between the two distributed antenna positions is greater than 1 meter, the antenna position error accuracy is at the centimeter level; when the antenna positions are less than 1 meter, the antenna position error accuracy is at the decimeter level. Due to the lack of a unified reference benchmark, the stability and accuracy of the actual position errors of multiple distributed antennas will decrease, failing to meet the high accuracy analysis and high precision positioning requirements of short baseline time difference / phase difference reconnaissance and positioning systems for radio signals. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a distributed antenna position measurement method, device and storage medium to address the shortcomings of the prior art.

[0004] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: A distributed antenna position measurement method, comprising the following steps: The original antenna latitude and longitude data is obtained from the RTK device, and the original antenna latitude and longitude data is transformed into coordinates to obtain the latitude and longitude coordinates of multiple target antennas. The original antenna latitude and longitude data includes the latitude and longitude coordinates of the original benchmark test point and the latitude and longitude coordinates of multiple original distributed antennas. Antenna measurement data analysis is performed on the latitude and longitude coordinates of each target antenna to obtain multiple predicted values ​​of relative distance length corresponding to the latitude and longitude coordinates of each original distributed antenna and multiple predicted values ​​of relative elevation difference corresponding to the latitude and longitude coordinates of each original distributed antenna. A calibration analysis was performed on all the predicted relative distance lengths and all the predicted relative elevation differences, and the analysis results were used as the antenna position measurement results.

[0005] Another technical solution of the present invention to solve the above-mentioned technical problems is as follows: A distributed antenna position measurement device, comprising: The data acquisition module is used to obtain raw antenna latitude and longitude data from the RTK device. The raw antenna latitude and longitude data includes the latitude and longitude coordinates of the raw reference test point and the latitude and longitude coordinates of multiple raw distributed antennas. The coordinate transformation module is used to perform coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas; The data analysis module is used to perform antenna measurement data analysis on the latitude and longitude coordinates of each of the target antennas to obtain multiple relative distance length prediction values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas and multiple relative elevation difference prediction values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The measurement result acquisition module is used to perform calibration analysis on all the predicted relative distance lengths and all the predicted relative elevation differences, and use the analysis results as the antenna position measurement results.

[0006] Another technical solution of the present invention to solve the above-mentioned technical problems is as follows: a distributed antenna position measurement system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the distributed antenna position measurement method as described above.

[0007] Based on the above-described distributed antenna position measurement method, the present invention also provides a computer-readable storage medium.

[0008] Another technical solution of the present invention to solve the above-mentioned technical problems is as follows: a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the distributed antenna position measurement method as described above.

[0009] The beneficial effects of this invention are as follows: The target antenna's latitude and longitude coordinates are obtained through coordinate transformation of the original antenna latitude and longitude data. The relative distance length prediction and relative elevation difference prediction are obtained through antenna measurement data analysis of the target antenna's latitude and longitude coordinates. The relative distance length prediction and relative elevation difference prediction are then calibrated and analyzed, and the analysis results are used as the antenna position measurement results. This solves the problems of low accuracy, complex operation, and line-of-sight limitations in distributed antenna position measurement using total stations or laser rangefinders. It effectively improves the debugging efficiency of distributed antenna position installation in field tests, and also solves the problem of low accuracy in measuring distributed antenna position coordinate information using single-point positioning equipment and conventional RTK equipment. This improves the accuracy of distributed antenna position errors, reduces the difficulty of measuring the positions of multiple widely distributed antennas, and solves the problem of cumulative error in each antenna position measurement. It also improves the stability and accuracy of distributed antenna position test results, and has significant application value. Attached Figure Description

[0010] Figure 1 This is a flowchart illustrating the distributed antenna position measurement method provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the layout of the distributed antenna positions in the distributed antenna position measurement method provided in an embodiment of the present invention; Figure 3 This is a block diagram of a distributed antenna position measurement device provided in an embodiment of the present invention. Detailed Implementation

[0011] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0012] Figure 1 This is a flowchart illustrating a distributed antenna position measurement method provided in an embodiment of the present invention.

[0013] like Figure 1 As shown, a distributed antenna position measurement method includes the following steps: S1: Obtain the original antenna latitude and longitude data from the RTK device, perform coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas, wherein the original antenna latitude and longitude data includes the latitude and longitude coordinates of the original reference test point and the latitude and longitude coordinates of multiple original distributed antennas; S2: Analyze the antenna measurement data for each of the target antennas according to their latitude and longitude coordinates to obtain multiple predicted relative distance lengths and multiple predicted relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas. S3: Perform calibration analysis on all the predicted relative distance lengths and all the predicted relative elevation differences, and use the analysis results as the antenna position measurement results.

[0014] In the above embodiments, the latitude and longitude coordinates of the target antenna are obtained by coordinate transformation of the original antenna latitude and longitude data. The relative distance length prediction value and the relative elevation difference prediction value are obtained by analyzing the antenna measurement data of the target antenna latitude and longitude coordinates. The relative distance length prediction value and the relative elevation difference prediction value are calibrated and analyzed, and the analysis results are used as the antenna position measurement results. This solves the problems of low accuracy, complex operation and line-of-sight requirements in distributed antenna position measurement by total station or laser rangefinder. It effectively improves the debugging efficiency of distributed antenna position installation in field tests, and also solves the problem of low accuracy in measuring distributed antenna position coordinate information by single-point positioning equipment and conventional RTK equipment. It improves the accuracy of distributed antenna position error, reduces the difficulty of measuring the positions of multiple widely distributed antennas, and solves the problem of cumulative error in each antenna position measurement. It improves the stability and accuracy of distributed antenna position test results and has great application value.

[0015] Optionally, as an embodiment of the present invention, such as Figure 1 and 2 As shown, the RTK device includes an RTK master unit and an RTK slave unit. The process of obtaining raw antenna latitude and longitude data from the RTK device includes: S11: Set the RTK host at a preset benchmark test point and obtain the original latitude and longitude coordinates of the benchmark test point through the RTK host; S12: The RTK slave is sequentially set at multiple distributed antennas, and the latitude and longitude coordinates of multiple original distributed antennas are obtained through the RTK master.

[0016] Understandably, based on the requirements of the radio signal time difference / phase difference reconnaissance and positioning system, the number M of distributed antennas and their relative positions are determined. Based on the relative positions of the distributed antennas, a reference test point is selected at a certain distance from each distributed antenna to place the RTK device's master unit (i.e., the RTK master). Based on the latitude and longitude coordinates of the master unit's location and the relative positions of each distributed antenna, the theoretical latitude and longitude coordinates for placing each distributed antenna are calculated, and the distributed antennas are placed according to these theoretical coordinates. Keeping the RTK device master unit's position unchanged, the RTK devices (i.e., RTK slave units) are placed one by one at the distributed antenna locations, and the latitude and longitude coordinates of the RTK device master unit and slave units at this time are recorded (i.e., the original reference test point's latitude and longitude coordinates and the original distributed antenna's latitude and longitude coordinates).

[0017] Specifically, such as Figure 2As shown, this includes one test reference point and M distributed antenna locations. The test reference point is where the RTK device host is placed, corresponding to a spatial rectangular coordinate system as follows: ( , , M distributed antennas are placed at M locations, corresponding to a spatial rectangular coordinate system as ( , , ), where i = 1, 2, ..., M, represents the i-th distributed antenna.

[0018] Specifically, in accordance with the requirements for external radiation source correction of the short baseline time difference / phase difference reconnaissance and positioning system, the selected reference test point location can be the same as the external radiation source correction location, and it is required to maintain a certain distance (greater than 10 meters) from each distributed antenna; place the RTK equipment host (i.e., RTK host) at the selected reference test point location, and record the latitude and longitude coordinate information of the host at this time (i.e., the original latitude and longitude coordinates of the reference test point).

[0019] In the above embodiments, obtaining the original antenna latitude and longitude data from the RTK device solves the problems of low accuracy, complex operation, and line-of-sight limitations in distributed antenna position measurement using total stations or laser rangefinders, effectively improving the debugging efficiency of distributed antenna position installation in field tests.

[0020] Optionally, as an embodiment of the present invention, the process of performing coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas includes: Spatial rectangular coordinate transformation is performed on the latitude and longitude coordinates of the original reference test points and the latitude and longitude coordinates of each of the original distributed antennas to obtain the latitude and longitude coordinates of the reference test points to be processed and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The latitude and longitude coordinates of the original reference test points, the latitude and longitude coordinates of the reference test points to be processed, and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas are transformed into northeast-northeast coordinates to obtain the latitude and longitude coordinates of the target antennas corresponding to the latitude and longitude coordinates of each of the original distributed antennas.

[0021] In the above embodiments, coordinate transformation is performed on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas. This solves the problems of low accuracy, complex operation, and line-of-sight limitations in distributed antenna position measurement using total stations or laser rangefinders. It effectively improves the debugging efficiency of distributed antenna position installation in field tests, and also solves the problem of low measurement accuracy of distributed antenna position coordinate information by single-point positioning equipment and conventional RTK equipment. This improves the accuracy of distributed antenna position error and reduces the difficulty of measuring the positions of multiple widely distributed antennas.

[0022] Optionally, as an embodiment of the present invention, the process of performing spatial rectangular coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of the reference test point to be processed and the latitude and longitude coordinates of multiple distributed antennas to be processed includes: The latitude and longitude coordinates of the original benchmark test point are calculated using the first formula to obtain the latitude and longitude coordinates of the benchmark test point to be processed. The first formula is: , in, The latitude and longitude coordinates of the benchmark test point to be processed. The original benchmark test point's latitude and longitude coordinates, The radius of curvature of the first zonal circle is denoted as . It has the highest eccentricity on Earth; The latitude and longitude coordinates of each of the original distributed antennas are calculated using the second formula to obtain the latitude and longitude coordinates of the distributed antenna to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The second formula is: , in, For the first The original distributed antenna latitude and longitude coordinates correspond to the distributed antenna latitude and longitude coordinates to be processed. For the first The original latitude and longitude coordinates of the distributed antenna For the first The radius of curvature of the second zonal circle corresponding to the latitude and longitude coordinates of the original distributed antenna. It has the highest eccentricity on Earth.

[0023] Specifically, based on the latitude and longitude coordinates of the RTK device master and slave at this time (i.e., the latitude and longitude coordinates of the original reference test point and the original distributed antenna), the obtained RTK device master latitude and longitude coordinate information parameters are... , , (i.e., the latitude and longitude coordinates of the original benchmark test point), converted from the WGS-84 geodetic coordinate system to a spatial rectangular coordinate system. , , (i.e., the latitude and longitude coordinates of the benchmark test point to be processed). The first conversion formula is expressed as: , In the formula, , , Represents the Cartesian coordinates of the RTK host space. , , Represents the geodetic coordinates of the RTK host. Let be the radius of curvature of the zonal circle, and e represent the first eccentricity of the Earth.

[0024] It should be understood that the latitude and longitude coordinate information parameters of each distributed antenna corresponding to the RTK slave device ( , , (i.e., the original distributed antenna latitude and longitude coordinates), converted from the WGS-84 geodetic coordinate system to a spatial rectangular coordinate system. , , (i.e., the latitude and longitude coordinates of the distributed antenna to be processed). The second conversion formula is expressed as: , In the formula, , , Represents the RTK slave spatial rectangular coordinates. , , Represents the RTK slave's geodetic coordinates. Let be the radius of curvature of the zonal loop, i = 1, 2, ..., M, representing the i-th distributed antenna.

[0025] In the above embodiments, the original antenna latitude and longitude data are transformed into spatial rectangular coordinates to obtain the latitude and longitude coordinates of the reference test point to be processed and the latitude and longitude coordinates of multiple distributed antennas to be processed. This effectively improves the debugging efficiency of distributed antenna position installation in field tests, solves the problem of low measurement accuracy of distributed antenna position coordinate information by single-point positioning equipment and conventional RTK equipment, improves the accuracy of distributed antenna position error, and reduces the difficulty of measuring the position of multiple widely distributed antennas.

[0026] Optionally, as an embodiment of the present invention, the process of performing a northeast-northeast coordinate transformation on the original reference test point latitude and longitude coordinates, the reference test point latitude and longitude coordinates to be processed, and the distributed antenna latitude and longitude coordinates to be processed corresponding to each of the original distributed antenna latitude and longitude coordinates to obtain the target antenna latitude and longitude coordinates corresponding to each of the original distributed antenna latitude and longitude coordinates includes: The third equation is used to perform a north-south coordinate transformation on the latitude and longitude coordinates of the original reference test points, the latitude and longitude coordinates of the reference test points to be processed, and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas, to obtain the latitude and longitude coordinates of the target antennas corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The third equation is: , in, For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. The original benchmark test point's latitude and longitude coordinates, The latitude and longitude coordinates of the benchmark test point to be processed. For the first The latitude and longitude coordinates of the original distributed antennas correspond to the latitude and longitude coordinates of the distributed antennas to be processed.

[0027] Specifically, based on the transformed spatial rectangular coordinates ( , , (i.e., the latitude and longitude coordinates of the benchmark test point to be processed) and ( , , (i.e., the latitude and longitude coordinates of the distributed antenna to be processed), the RTK slave device is converted from spatial rectangular coordinates to northeast celestial coordinates (i.e., the latitude and longitude coordinates of the target antenna) with the RTK host reference test point position as the origin using the third formula. The third conversion formula is expressed as: , In the formula, , , The coordinates of the northeast sky corresponding to the RTK slave device are represented by i=1,2,...,M, which represents the i-th distributed antenna.

[0028] In the above embodiments, the latitude and longitude coordinates of the original benchmark test point, the latitude and longitude coordinates of the benchmark test point to be processed, and the latitude and longitude coordinates of the distributed antenna to be processed are respectively transformed into northeast-northeast coordinates to obtain the latitude and longitude coordinates of the target antenna. This solves the problems of low accuracy, complex operation, and line-of-sight requirements in distributed antenna position measurement by total station or laser rangefinder. It effectively improves the debugging efficiency of distributed antenna position installation in field tests, and also solves the problem of low accuracy in measuring distributed antenna position coordinate information by single-point positioning equipment and conventional RTK equipment. This improves the accuracy of distributed antenna position error and reduces the difficulty of measuring the position of multiple widely distributed antennas.

[0029] Optionally, as an embodiment of the present invention, the process of analyzing antenna measurement data for each of the target antennas to obtain multiple predicted relative distance lengths and multiple predicted relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas includes: The fourth equation is used to calculate the latitude and longitude coordinates of each target antenna and the latitude and longitude coordinates of any remaining target antenna, respectively, to obtain multiple predicted relative distance length values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The fourth equation is: , in, , , , , in, For the first The latitude and longitude coordinates of the first original distributed antenna and the first The predicted relative distance length between the original distributed antenna latitude and longitude coordinates. For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The original distributed antenna's latitude and longitude coordinates correspond to the true north angle parameter values. For the first The north angle parameter value corresponding to the latitude and longitude coordinates of the original distributed antenna; The fifth equation is used to calculate the latitude and longitude coordinates of each target antenna and the latitude and longitude coordinates of any remaining target antenna, respectively, to obtain multiple predicted relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The fifth equation is: , in, , , , , in, For the first The latitude and longitude coordinates of the first original distributed antenna and the first Predicted relative elevation difference values ​​of the original distributed antenna latitude and longitude coordinates For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The elevation angle parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antenna. For the first The elevation angle parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antenna.

[0030] It should be understood that, based on the recorded latitude and longitude coordinates of the RTK device host and the slave devices at the locations of each distributed antenna (i.e., the latitude and longitude coordinates of the original reference test point and the original latitude and longitude coordinates of the distributed antenna), the distance (i.e., distance parameter value), north angle (i.e., north angle parameter value) and elevation angle (i.e., elevation angle parameter value) corresponding to each distributed antenna are calculated respectively.

[0031] Specifically, the distance parameter, true north angle parameter, and elevation angle parameter values ​​between the reference test point and each distributed antenna position are calculated based on the northeast celestial coordinates (i.e., the latitude and longitude coordinates of the target antenna), where: Distance parameter value ; North Angle Parameter Value ; Pitch angle parameter value , In the formula, i = 1, 2, ..., M represents the i-th distributed antenna.

[0032] It should be understood that, based on the triangle cosine theorem formula, and combined with the distance (i.e., distance parameter value), north angle (i.e., north angle parameter value), and elevation angle (i.e., elevation angle parameter value) between the RTK device master and each distributed antenna slave, the relative distance length (i.e., relative distance length prediction value) and elevation difference (i.e., relative elevation difference prediction value) between each pair of distributed antennas can be calculated, and the antenna position error accuracy can reach the millimeter level.

[0033] Specifically, the methods for calculating the relative distance and elevation difference between each pair of distributed antennas include: Based on the triangle cosine theorem, and combining the distances (distance parameters) and north angles (north angle parameters) between the corresponding distributed antenna positions of the RTK device's master and slave units, the relative distances between each pair of distributed antennas are calculated (i.e., predicted relative distances). Taking the calculation of the relative distance between the 1st and 1st distributed antennas as an example, the relative distance calculation formula is as follows: , In the formula, i = 1, 2, ..., M represents the i-th distributed antenna; Based on the elevation angles (i.e., elevation angle parameter values) of the distributed antenna positions corresponding to the master and slave devices of the RTK equipment, the relative elevation difference (i.e., the predicted relative elevation difference value) between each pair of distributed antennas is calculated. Taking the calculation of the relative elevation difference between the 1st and 1st distributed antennas as an example, the formula for calculating the relative elevation difference is: , In the formula, i = 1, 2, ..., M represents the i-th distributed antenna.

[0034] In the above embodiments, antenna measurement data analysis is performed on the latitude and longitude coordinates of the target antenna to obtain the predicted values ​​of relative distance length and relative elevation difference. This can reduce the antenna position error to the millimeter level, solve the problem of low measurement accuracy of distributed antenna position coordinate information by single-point positioning equipment and conventional RTK equipment, improve the accuracy of distributed antenna position error, and reduce the difficulty of measuring the position of multiple widely distributed antennas.

[0035] Optionally, as an embodiment of the present invention, the process of calibrating and analyzing all the predicted relative distance lengths and all the predicted relative elevation differences, and using the analysis results as the antenna position measurement results, includes: Import the true values ​​of multiple relative distance lengths corresponding to the latitude and longitude coordinates of each of the original distributed antennas, as well as the true values ​​of multiple relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas; The difference between the true relative distance length value and the multiple predicted relative distance length values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas is calculated to obtain multiple first differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The first difference is the difference between the predicted relative distance length value and the true relative distance length value. The difference between the true value of each relative elevation difference and the multiple predicted values ​​of relative elevation differences corresponding to the latitude and longitude coordinates of each original distributed antenna are calculated to obtain multiple second differences corresponding to the latitude and longitude coordinates of each original distributed antenna. The second difference is the difference between the predicted value of relative elevation difference and the true value of relative elevation difference. Determine whether all the first differences are less than a preset first difference and whether all the second differences are less than a preset second difference. If not, reset the positions of the multiple distributed antennas according to all the first differences and all the second differences, and return to S12. If yes, use all the predicted relative distance lengths and all the predicted relative elevation differences as the antenna position measurement results.

[0036] It should be understood that the relative distances between each pair of distributed antennas are recorded in the test data. (i.e., predicted relative distance length) and elevation difference data (i.e., relative elevation difference prediction value) to adjust the position of relevant antennas in real time, so that they are as close as possible to the theoretical latitude and longitude coordinates of each distributed antenna placement, so as to achieve high accuracy analysis and high precision positioning of radio signals.

[0037] Specifically, based on the test records of the relative distances between each pair of distributed antennas... and elevation difference data The position of the relevant antennas is adjusted in real time; the data is then returned to S12 to make it as close as possible to the theoretical latitude and longitude coordinates of each distributed antenna.

[0038] In the above embodiments, calibration analysis is performed on all predicted relative distance lengths and all predicted relative elevation differences, and the analysis results are used as antenna position measurement results. This can approximate the theoretical latitude and longitude coordinates of each distributed antenna as closely as possible, achieving high accuracy analysis and high precision positioning of radio signals.

[0039] Optionally, as another embodiment of the present invention, the present invention utilizes RTK equipment to directly measure the coordinate information of two distributed antenna positions, solving the problems of low accuracy, complex operation, and line-of-sight limitations in distributed antenna position measurement using total stations or laser rangefinders, effectively improving the debugging efficiency of distributed antenna position installation in field tests. Based on the triangle cosine theorem formula, combined with the distance, north angle, and elevation angle information between the RTK equipment host and each distributed antenna position slave, the relative distance length and elevation difference between each pair of distributed antennas can be calculated. The antenna position error accuracy can reach the millimeter level, solving the problem of low measurement accuracy of distributed antenna position coordinate information by single-point Beidou / GPS equipment and conventional RTK equipment, especially improving the position error accuracy of short-range distributed antennas (less than 1 meter) by an order of magnitude. By selecting a benchmark test point as a unified reference for the positions of each distributed antenna, the difficulty of measuring the positions of multiple widely distributed antennas is reduced, the problem of cumulative error in the measurement of each antenna position is solved, and the stability and accuracy of the distributed antenna position test results are improved. At the same time, by adjusting the position errors of each distributed antenna in real time, the high accuracy analysis and high precision positioning requirements of the short baseline time difference / phase difference reconnaissance and positioning system for radio signals are effectively guaranteed, which has great application value.

[0040] Figure 3 This is a block diagram of a distributed antenna position measurement device provided in an embodiment of the present invention.

[0041] Alternatively, as another embodiment of the present invention, such as Figure 3 As shown, a distributed antenna position measurement device includes: The data acquisition module is used to obtain raw antenna latitude and longitude data from the RTK device. The raw antenna latitude and longitude data includes the latitude and longitude coordinates of the raw reference test point and the latitude and longitude coordinates of multiple raw distributed antennas. The coordinate transformation module is used to perform coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas; The data analysis module is used to perform antenna measurement data analysis on the latitude and longitude coordinates of each of the target antennas to obtain multiple relative distance length prediction values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas and multiple relative elevation difference prediction values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The measurement result acquisition module is used to perform calibration analysis on all the predicted relative distance lengths and all the predicted relative elevation differences, and use the analysis results as the antenna position measurement results.

[0042] Optionally, another embodiment of the present invention provides a distributed antenna position measurement system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the distributed antenna position measurement method as described above. This system can be a computer or similar system.

[0043] Optionally, another embodiment of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the distributed antenna position measurement method as described above.

[0044] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0045] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and unit can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0046] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0047] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0048] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0049] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for distributed antenna location measurement, the method comprising: Includes the following steps: The original antenna latitude and longitude data is obtained from the RTK device, and the original antenna latitude and longitude data is transformed into coordinates to obtain the latitude and longitude coordinates of multiple target antennas. The original antenna latitude and longitude data includes the latitude and longitude coordinates of the original benchmark test point and the latitude and longitude coordinates of multiple original distributed antennas. Antenna measurement data analysis is performed on the latitude and longitude coordinates of each target antenna to obtain multiple predicted relative distance length values ​​and multiple predicted relative elevation difference values ​​corresponding to the latitude and longitude coordinates of each original distributed antenna. A calibration analysis was performed on all the predicted relative distance lengths and all the predicted relative elevation differences, and the analysis results were used as the antenna position measurement results.

2. The distributed antenna position measurement method of claim 1, wherein, The RTK device includes an RTK master unit and an RTK slave unit. The process of obtaining raw antenna latitude and longitude data from the RTK device includes: S11: Set the RTK host at a preset benchmark test point and obtain the original latitude and longitude coordinates of the benchmark test point through the RTK host; S12: The RTK slave is sequentially set at multiple distributed antennas, and the latitude and longitude coordinates of multiple original distributed antennas are obtained through the RTK master.

3. The distributed antenna position measurement method of claim 2, wherein, The process of performing coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas includes: Spatial rectangular coordinate transformation is performed on the latitude and longitude coordinates of the original reference test points and the latitude and longitude coordinates of each of the original distributed antennas to obtain the latitude and longitude coordinates of the reference test points to be processed and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The latitude and longitude coordinates of the original reference test points, the latitude and longitude coordinates of the reference test points to be processed, and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas are transformed into northeast-northeast coordinates to obtain the latitude and longitude coordinates of the target antennas corresponding to the latitude and longitude coordinates of each of the original distributed antennas.

4. The distributed antenna position measurement method of claim 3, wherein, The process of performing spatial rectangular coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of the reference test point to be processed and the latitude and longitude coordinates of multiple distributed antennas to be processed includes: The latitude and longitude coordinates of the original benchmark test point are calculated using the first formula to obtain the latitude and longitude coordinates of the benchmark test point to be processed. The first formula is: ， in, The latitude and longitude coordinates of the benchmark test point to be processed. The original benchmark test point's latitude and longitude coordinates, The radius of curvature of the first zonal circle is denoted as . It has the highest eccentricity on Earth; The latitude and longitude coordinates of each of the original distributed antennas are calculated using the second formula to obtain the latitude and longitude coordinates of the distributed antenna to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The second formula is: ， in, For the first The original distributed antenna latitude and longitude coordinates correspond to the distributed antenna latitude and longitude coordinates to be processed. For the first The original latitude and longitude coordinates of the distributed antenna For the first The radius of curvature of the second zonal circle corresponding to the latitude and longitude coordinates of the original distributed antenna. It has the highest eccentricity on Earth.

5. The distributed antenna position measurement method according to claim 3, characterized in that, The process of performing northeast-northeast coordinate transformation on the latitude and longitude coordinates of the original reference test points, the latitude and longitude coordinates of the reference test points to be processed, and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas, to obtain the latitude and longitude coordinates of the target antennas corresponding to the latitude and longitude coordinates of each of the original distributed antennas, includes: The third equation is used to perform a north-south coordinate transformation on the latitude and longitude coordinates of the original reference test points, the latitude and longitude coordinates of the reference test points to be processed, and the latitude and longitude coordinates of the distributed antennas to be processed corresponding to the latitude and longitude coordinates of each of the original distributed antennas, to obtain the latitude and longitude coordinates of the target antennas corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The third equation is: ， in, For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. The original benchmark test point's latitude and longitude coordinates, The latitude and longitude coordinates of the benchmark test point to be processed. For the first The latitude and longitude coordinates of the original distributed antennas correspond to the latitude and longitude coordinates of the distributed antennas to be processed.

6. The distributed antenna position measurement method according to claim 1, characterized in that, The process of analyzing antenna measurement data for each of the target antennas to obtain multiple predicted relative distance lengths and multiple predicted relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas includes: The fourth equation is used to calculate the latitude and longitude coordinates of each target antenna and the latitude and longitude coordinates of any remaining target antenna, respectively, to obtain multiple predicted relative distance length values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The fourth equation is: ， in, , , , , in, For the first The latitude and longitude coordinates of the first original distributed antenna and the first The predicted relative distance length based on the latitude and longitude coordinates of the original distributed antennas. For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The original distributed antenna's latitude and longitude coordinates correspond to the true north angle parameter values. For the first The north angle parameter value corresponding to the latitude and longitude coordinates of the original distributed antenna; The fifth equation is used to calculate the latitude and longitude coordinates of each target antenna and the latitude and longitude coordinates of any remaining target antenna, respectively, to obtain multiple predicted relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The fifth equation is: ， in, , , , , in, For the first The latitude and longitude coordinates of the first original distributed antenna and the first Predicted relative elevation difference values ​​of the original distributed antenna latitude and longitude coordinates For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The distance parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antennas. For the first The target antenna's latitude and longitude coordinates corresponding to the original distributed antenna latitude and longitude coordinates. For the first The elevation angle parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antenna. For the first The elevation angle parameter values ​​corresponding to the latitude and longitude coordinates of the original distributed antenna.

7. The distributed antenna position measurement method according to claim 2, characterized in that, The process of calibrating and analyzing all the predicted relative distance lengths and all the predicted relative elevation differences, and using the analysis results as the antenna position measurement results, includes: Import the true values ​​of multiple relative distance lengths corresponding to the latitude and longitude coordinates of each of the original distributed antennas, as well as the true values ​​of multiple relative elevation differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas; The difference between the true relative distance length value and the multiple predicted relative distance length values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas is calculated to obtain multiple first differences corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The first difference is the difference between the predicted relative distance length value and the true relative distance length value. The difference between the true value of each relative elevation difference and the multiple predicted values ​​of relative elevation differences corresponding to the latitude and longitude coordinates of each original distributed antenna are calculated to obtain multiple second differences corresponding to the latitude and longitude coordinates of each original distributed antenna. The second difference is the difference between the predicted value of relative elevation difference and the true value of relative elevation difference. Determine whether all the first differences are less than a preset first difference and whether all the second differences are less than a preset second difference. If not, reset the positions of the multiple distributed antennas according to all the first differences and all the second differences, and return to S12. If yes, use all the predicted relative distance lengths and all the predicted relative elevation differences as the antenna position measurement results.

8. A distributed antenna position measurement device, characterized in that, include: The data acquisition module is used to obtain raw antenna latitude and longitude data from the RTK device. The raw antenna latitude and longitude data includes the latitude and longitude coordinates of the raw reference test point and the latitude and longitude coordinates of multiple raw distributed antennas. The coordinate transformation module is used to perform coordinate transformation on the original antenna latitude and longitude data to obtain the latitude and longitude coordinates of multiple target antennas; The data analysis module is used to perform antenna measurement data analysis on the latitude and longitude coordinates of each of the target antennas to obtain multiple relative distance length prediction values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas and multiple relative elevation difference prediction values ​​corresponding to the latitude and longitude coordinates of each of the original distributed antennas. The measurement result acquisition module is used to perform calibration analysis on all the predicted relative distance lengths and all the predicted relative elevation differences, and use the analysis results as the antenna position measurement results.

9. A distributed antenna position measurement device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the distributed antenna position measurement method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the distributed antenna position measurement method as described in any one of claims 1 to 7.

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