A radio frequency connector test system

Abstract

The present invention relates to the technical field of radio frequency connector testing, and discloses a radio frequency connector testing system, including a virtual radio frequency test network construction module for simulating a cable network in the system during radio frequency testing, and a radio frequency signal source for inputting a test signal into the cable network; constructing a virtual model of the cable network and a transmission model of the signal; installing radio frequency connectors at the nodes of the cable network to minimize the installation quantity of the radio frequency connectors; a fault simulation module for simulating actual cable network faults using radio frequency connectors with adjustable fault types; a performance analysis and determination module for calculating the performance of the cable network and determining whether the cable network needs to be reorganized; a reorganization evaluation and optimization module for calculating the performance of the reorganized cable network and determining whether the reorganization is successful; and applying the reorganized cable network to the actual cable network, significantly improving the efficiency and performance of cable network testing.

Description

Technical Field

[0001] The present invention relates to the technical field of radio frequency connector testing, and specifically to a radio frequency connector testing system. Background Art

[0002] With the rapid development of radio frequency testing technology, the role of cable networks in radio frequency signal transmission has become increasingly important. With the increasing testing requirements, the complexity of cable networks has been continuously improving. How to improve the testing efficiency of the network, reduce costs, and be able to respond quickly when a fault occurs has become an urgent challenge to be solved.

[0003] The testing methods of radio frequency cable networks mainly rely on the installation and configuration of physical radio frequency connectors. Although this traditional method can ensure the accuracy of testing to a certain extent, there are several obvious defects in the testing process. First, the installation and maintenance of radio frequency connectors often require a large amount of manual intervention, resulting in low testing efficiency and high costs. Second, when a fault occurs in the cable network, it is difficult for the traditional method to quickly locate the problem, and it often requires replacing or repairing multiple connectors, increasing the testing time and resource waste. In addition, the existing solutions are difficult to cope with complex network topology changes and variable fault scenarios, and often cannot make effective adjustments in a short time. These problems limit the flexibility and adaptability of cable network testing and are difficult to meet the high requirements of modern radio frequency testing for accuracy and efficiency. Therefore, the existing technology has significant deficiencies in the face of efficient and flexible network optimization and fault repair.

[0004] This solution proposes a radio frequency connector testing system, which can overcome the defects of the existing technology and significantly improve the testing efficiency and performance of cable networks by introducing virtual radio frequency test network construction, fault simulation, and cable network reorganization strategies. Summary of the Invention

[0005] The present invention provides a radio frequency connector testing system for facilitating the solution of the problems mentioned in the above background art.

[0006] The present invention provides the following technical solution: A radio frequency connector testing system, comprising:

[0007] A virtual radio frequency test network construction module that simulates the cable network in the radio frequency test in the system, and a radio frequency signal source inputs test signals into the cable network;

[0008] Execute a network topology modeling strategy to construct a virtual model of the cable network and a transmission model of the signal;

[0009] Install radio frequency connectors at the nodes of the cable network and execute an installation optimization strategy to minimize the number of installed radio frequency connectors;

[0010] Fault simulation module, using a radio frequency connector with adjustable fault types to simulate actual cable network faults;

[0011] Use a vector network analyzer to measure the S-parameters of the cable network, and measure the output power of the test signal through a frequency power meter;

[0012] Execute the combined connector fault strategy, set the faulty radio frequency connectors in the cable network, and minimize the number of faulty radio frequency connectors;

[0013] Performance analysis and determination module:

[0014] Calculate the performance of the cable network and determine whether the cable network needs to be reorganized;

[0015] When the performance of the cable network is less than the performance threshold, reorganize the cable network;

[0016] Cable network reorganization module:

[0017] Execute the virtual reorganization strategy, calculate the number of radio frequency connectors required to reorganize the cable network, and use radio frequency connectors to reorganize the cable network;

[0018] Reorganization evaluation and optimization module;

[0019] Execute the reorganization evaluation strategy, calculate the performance of the reorganized cable network, and determine whether the reorganization is successful;

[0020] If the reorganization fails, repeat the virtual reorganization strategy until the reorganization evaluation strategy determines that the reorganization is successful;

[0021] Apply the reorganized cable network to the actual cable network.

[0022] Preferably, the construction of the virtual model of the cable network and the transmission model of the signal includes:

[0023] Simulate the cable network in the system as a graph , which consists of nodes and edges connecting the nodes;

[0024] , where is the set of nodes, E is the set of edges connecting the nodes, and when there is a connecting edge between node i and node j, the connecting edge is represented as ;

[0025] The radio frequency signal source inputs a test signal into the cable network, and the test signal is set with signal amplitude, frequency , initial phase and time t;

[0026] When the test signal is input into the edge , calculate the output signal ;

[0027] , where is the time required for the test signal to propagate from node i to node j. , where is the amplitude attenuation factor;

[0028] Obtain all the nodes that deliver the test signal to node i, and obtain the output signals of each node reaching node i.

[0029] Calculate the sum of all the output signals, and use the result as the final test signal of node i.

[0030] Preferably, installing radio frequency connectors in the nodes of the cable network and minimizing the number of installed radio frequency connectors includes:

[0031] Obtain the edges to be tested selected from the edge set of graph G to form a test edge set ;

[0032] Set the installation decision variable, which is used to represent whether to install a radio frequency connector on the edge . Among them, if a radio frequency connector is installed on the edge , then , if a radio frequency connector is not installed on the edge , then ;

[0033] Set the decision variable ;

[0034] If , then , if , then ;

[0035] Obtain the cost of installing a radio frequency connector on the edge ; ;

[0036] Calculate the objective function: , and limit the constraint condition , and use the quantity obtained by calculating the objective function as the number of installed radio frequency connectors.

[0037] Preferably, setting faulty radio frequency connectors in the cable network and minimizing the number of faulty radio frequency connectors includes:

[0038] Decompose graph into multiple subgraphs. The th subgraph contains multiple nodes and edges;

[0039] According to the test edge set Generate a test path set , where the th test path in the test path set includes an initial node, a target node, and multiple edges from the initial node to the target node;

[0040] Obtain all the RF connectors installed in the cable network ;

[0041] Set a fault decision variable, which is used to indicate whether to set an RF connector fault. If an RF connector is set to be faulty, then . If an RF connector is set to be normal, then ;

[0042] Calculate the objective function , where m is the number of installed RF connectors, is the signal loss factor of the RF connector , is the weight coefficient, which is used to adjust the influence of signal loss;

[0043] Limit that each test path is connected to at least one faulty RF connector ;

[0044] Limit that each subgraph is covered by at least one faulty RF connector ;

[0045] Calculate the influence of each RF connector ;

[0046] Obtain the number of faulty RF connectors calculated by the objective function, denoted as the number of faults;

[0047] Select the number of faulty RF connectors in descending order of influence for simulating the faults of the cable network, where all the faulty RF connectors are set to have the same fault type during each simulation.

[0048] Preferably, setting the faulty RF connectors in the cable network and minimizing the number of faulty RF connectors further includes:

[0049] Calculate the signal loss factor of the RF connector , specifically:

[0050] The RF connector includes an input end and an output end, and obtains the transmission coefficient of the test signal from the input end to the output end. ;

[0051] Obtain the power of the test signal input to the RF connector. ;

[0052] Calculate the signal loss factor. , .

[0053] Preferably, calculating the performance of the cable network and determining whether the cable network needs to be reorganized includes:

[0054] Preferably, calculating the performance of the cable network and determining whether the cable network needs to be reorganized includes:

[0055] Obtain the length of the test path;

[0056] Measure the length of each edge on the test path and calculate the length of each edge The length of the test path, and the result is used as the weight of each edge , is the weight of the k-th edge;

[0057] Calculate the performance of the k-th edge on the test path as ;

[0058] Obtain all the test paths where the k-th edge is located, and calculate the performance of the k-th edge in each test path, and calculate the average value of all the performances of the k-th edge, and the result is used as the estimated performance of the k-th edge;

[0059] Set the performance threshold;

[0060] Obtain the estimated performance of all the test edge sets and compare the estimated performance with the performance threshold;

[0061] If the estimated performance is less than the performance threshold, reorganize the cable network.

[0062] Preferably, calculating the number of RF connectors required for reorganizing the cable network and reorganizing the cable network using RF connectors includes:

[0063] Obtain the test paths where the edges with estimated performance less than the performance threshold are located, and record them as the reorganization paths;

[0064] The th reorganization path is recombined to generate a new path ;

[0065] Obtain the number of edges in ;

[0066] Set the connection limit for each RF connector;

[0067] Obtain the number of normal RF connectors in the recombination path whose connection times are less than the connection limit ;

[0068] Calculate the new path The number of RF connectors to be added as required ;

[0069] Calculate the number of RF connectors to be added on each new path , which is recorded as the total number of new additions;

[0070] Obtain the installed number of RF connectors in the cable network;

[0071] Obtain the number of faults of the faulty RF connectors;

[0072] Calculate the installed number - the number of faults, and the result is recorded as the remaining total;

[0073] If the remaining total is less than the total number of new additions, calculate the total number of new additions - the remaining total, and the result is recorded as the target number;

[0074] Add the target number of virtual RF connectors to the cable network;

[0075] Generate new paths from each recombination path to reorganize the cable network.

[0076] Preferably, calculate the performance of the reorganized cable network and determine whether the reorganization is successful, including:

[0077] Measure the th new path performance , calculate the performance occupied by each edge on the th new path ; ;

[0078] Obtain all the new paths where the bth edge on the th new path is located, obtain the performance of the bth edge on each new path, and calculate the average value of all performances as the performance of the bth edge; Compare the performance of the bth edge with the performance threshold;

[0079] If the performance of the bth edge is greater than or equal to the performance threshold, the reorganization of the cable network is successful;

[0080] If the performance of the bth edge is less than the performance threshold, the reorganization of the cable network fails.

[0081] If the performance of the bth edge is less than the performance threshold, the reorganization of the cable network fails.

[0082] The present invention has the following beneficial effects:

[0083] 1. The RF connector test system accurately simulates the actual cable network in a simulation environment, avoiding equipment consumption and time waste in traditional tests. The fault simulation module can simulate various cable fault types in a virtual environment, truly evaluating the performance of the network under different fault conditions. The performance analysis module measures in combination with a vector network analyzer, enabling the optimization and improvement of network performance to be based on actual data. By implementing a virtual reorganization strategy, it can quickly respond to the need for performance degradation and evaluate the effect after reorganization, ensuring that the performance of the entire cable network is always in the best state. It is carried out in a virtualized manner, greatly improving the test efficiency and reducing the complexity and cost brought by physical tests. It provides an efficient, adjustable, and flexible solution, helping to optimize resource allocation and improve system stability.

[0084] 2. The RF connector test system abstracts the cable network as a graph model and calculates the propagation characteristics of signals. By establishing a graph model of nodes and edges, it describes the topological structure of the cable network and quantifies the propagation process of the simulation signal. After the signal is input, it calculates the propagation time and attenuation factor of the output signal, and calculates the signal quality of the entire network based on the output signal of each node, accurately evaluating the signal quality of each node and each edge in the cable network to ensure the effective propagation of the test signal.

[0085] 3. The RF connector test system optimizes the installation quantity and location of RF connectors by setting installation decision variables, judgment variables, and objective functions. By calculating the objective function, it can determine which positions need to install connectors, thus avoiding redundant installation of useless connectors and improving the processing efficiency of the system. The system can accurately calculate the minimum number of connectors required on the premise of meeting performance requirements. This optimization not only improves the configuration efficiency of the cable network but also reduces the overall hardware requirements and costs of the test system. Brief Description of the Drawings

[0086] Figure 1 It is a schematic diagram of the system modules of the present invention.

[0087] Figure 2 It is a schematic diagram of a sub-graph of the cable network before reorganization of the present invention.

[0088] Figure 3 It is a schematic diagram of a sub-graph of the cable network after reorganization of the present invention. Detailed Embodiment

[0089] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0090] Embodiment 1. Refer to Figure 1 , a radio frequency connector test system, including:

[0091] A virtual radio frequency test network construction module that simulates the cable network in the radio frequency test in the system, and a radio frequency signal source inputs a test signal into the cable network;

[0092] Execute the network topology modeling strategy to construct a virtual model of the cable network and a transmission model of the signal;

[0093] Install radio frequency connectors at the nodes of the cable network, and execute the installation optimization strategy to minimize the number of installed radio frequency connectors;

[0094] A fault simulation module that uses radio frequency connectors with adjustable fault types to simulate actual cable network faults;

[0095] Use a vector network analyzer to measure the S parameters of the cable network, and measure the output power of the test signal through a frequency power meter;

[0096] Execute the combined connector fault strategy, set the faulty radio frequency connectors in the cable network, and minimize the number of faulty radio frequency connectors;

[0097] Performance analysis and determination module:

[0098] Calculate the performance of the cable network and determine whether the cable network needs to be reorganized;

[0099] When the performance of the cable network is less than the performance threshold, reorganize the cable network;

[0100] Cable network reorganization module:

[0101] Execute the virtual reorganization strategy, calculate the number of radio frequency connectors required to reorganize the cable network, and reorganize the cable network using radio frequency connectors;

[0102] Reorganization evaluation and optimization module;

[0103] Execute the reorganization evaluation strategy, calculate the performance of the cable network after reorganization, and determine whether the reorganization is successful;

[0104] If the reorganization fails, repeat the execution of the virtual reorganization strategy until the reorganization evaluation strategy determines that the reorganization is successful;

[0105] Apply the reorganized cable network to the actual cable network.

[0106] Through the virtual RF test network construction module, it is possible to simulate the RF cable network, simulate the transmission and testing of RF signals. Without relying on actual hardware, a comprehensive evaluation of the cable network can be carried out, thus saving a large amount of physical test costs and time. At the same time, by implementing network topology modeling and RF connector installation optimization strategies, the number of RF connectors used can be minimized, reducing the complexity and cost of hardware deployment. The introduction of the fault simulation module enables the solution to simulate actual fault scenarios, ensuring that the evaluation of the cable network has high practical significance and operability. Finally, using a vector network analyzer for S-parameter measurement and combining with the output power measurement of a frequency power meter provides accurate experimental data for subsequent performance analysis, laying a solid foundation for subsequent optimization and improvement of the cable network performance.

[0107] Build a virtual model of the cable network and a signal transmission model, including:

[0108] Simulate the cable network in the system as Figure , where the figure consists of nodes and edges connecting the nodes;

[0109] , where, is the set of nodes, E is the set of edges connecting the nodes, and when there is a connecting edge between node i and node j, the connecting edge is represented as ;

[0110] An RF signal source inputs a test signal into the cable network, and the test signal is set with signal amplitude, frequency , initial phase, and time t;

[0111] When the test signal is input into edge , calculate the output signal ;

[0112] When the test signal is input into edge , calculate the output signal ; is the time required for the test signal to propagate from node i to node j, , where, is the amplitude attenuation factor;

[0113] Obtain all the nodes that deliver the test signal to node i, and obtain the output signal of each node arriving at node i;

[0114] Calculate the sum of all the output signals, and the result is used as the final test signal of node i.

[0115] By simulating the cable network as a graphical model, the topological structure of the cable network is systematically represented, and the propagation time and attenuation factor of the signal are calculated for each signal transmission path. It can clearly describe the mutual relationship of each component (such as cable segments, connectors, etc.) in the network, thus providing theoretical support for the optimization and adjustment of cable performance. By calculating the signal propagation time and amplitude attenuation from the source to the target, the transmission quality of each node and path can be comprehensively evaluated, and the transmission paths that may have problems can be accurately found. In addition, it makes the performance evaluation of the cable network more accurate and can better support subsequent performance optimization strategies.

[0116] Install RF connectors at the nodes of the cable network, minimizing the number of RF connector installations, including:

[0117] Obtain the edges selected for testing in the edge set of graph G to form a test edge set ;

[0118] Set the installation decision variable, which is used to represent whether to install an RF connector on the edge . Among them, if an RF connector is installed on the edge , then , if an RF connector is not installed on the edge , then ;

[0119] Set the decision variable ;

[0120] If , then , if , then ;

[0121] Obtain the cost of installing an RF connector on the edge ;

[0122] Calculate the objective function: , limit the constraint condition , and take the quantity obtained by calculating the objective function as the number of RF connector installations.

[0123] Through the generation of the edge set and the test path set, the cable network is divided into multiple sub-parts for individual evaluation, greatly improving the test efficiency. By setting the installation decision variable and the fault decision variable, the system can intelligently decide whether to install an RF connector on a specific path according to specific requirements. Calculating and optimizing the objective function can minimize the number of RF connectors while ensuring performance. This method not only saves resources but also can flexibly adjust the configuration of RF connectors according to the requirements of different paths in the network to ensure the efficient operation of the overall system.

[0124] Set faulty RF connectors in a cable network and minimize the number of faulty RF connectors, including:

[0125] Decompose the figure into multiple sub - figures. The th sub - figure contains multiple nodes and edges;

[0126] Generate a set of test paths according to the set of test edges . The th test path in the set of test paths includes an initial node and a target node and multiple edges from the initial node to the target node; Obtain all RF connectors installed in the cable network

[0127] ; ;

[0128] Set a fault decision variable, which is used to indicate whether to set an RF connector fault. If an RF connector is faulty, then . If an RF connector is normal, then ;

[0129] Calculate the objective function , where m is the number of installed RF connectors, is the signal loss factor of the RF connector , is the weight coefficient used to adjust the impact of signal loss;

[0130] Limit that each test path is connected to at least one faulty RF connector ;

[0131] Limit that each sub - figure is covered by at least one faulty RF connector ;

[0132] Calculate the influence of each RF connector ;

[0133] Obtain the number of faulty RF connectors calculated by the objective function, denoted as the number of faults;

[0134] Select the number of faults of RF connectors in descending order of influence to simulate the faults of the cable network. Among them, when simulating each time, set all faulty RF connectors to have the same fault type.

[0135] By decomposing the graph into multiple sub - graphs, the structural analysis of the cable network is optimized, enabling a more detailed assessment of the performance of each test path. By setting fault decision variables to simulate the fault conditions of RF connectors, the flexibility and accuracy of fault simulation are further enhanced. Combining the calculation of the objective function and the influence ranking of faulty RF connectors can ensure the selection of appropriate RF connectors for fault simulation and reproduce the performance of the cable network in an actual fault environment. It can make full use of existing resources, accurately simulate network faults and optimize them to ensure that the system can make timely adjustments when faults occur.

[0136] Setting faulty RF connectors in the cable network and minimizing the number of faulty RF connectors further includes:

[0137] Calculating the signal loss factor of the RF connector Specifically: The RF connector includes an input end and an output end. Obtain the transmission coefficient of the test signal from the input end to the output end

[0138] ; Obtain the power of the test signal input to the RF connector

[0139] ; Calculate the signal loss factor

[0140] Specifically, .

[0141] By calculating the signal loss factor of the RF connector, the impact of each connector on the overall network performance can be deeply evaluated. By obtaining the transmission coefficient and power data from the input end to the output end, the system can accurately calculate the signal loss situation of each RF connector. It can provide detailed performance data for each connector, enabling subsequent optimization strategies to more specifically address problems in the cable network. At the same time, it improves the system's sensitivity to signal loss, helps to discover potential network bottlenecks, and provides a theoretical basis for performance improvement.

[0142] Calculating the performance of the cable network and determining whether the cable network needs to be reorganized includes:

[0143] Measuring the performance of the test path The test path is composed of multiple edges connected end - to - end; Obtain the length of the test path;

[0144] Measure the length of each edge on the test path and calculate the length of each edge

[0145] The length of the test path, and the result is used as the weight of each edge Specifically, is the weight of the k - th edge;

[0146] Calculate the test path The performance of the k-th edge is ;

[0147] Obtain all the test paths where the k-th edge is located, calculate the performance of the k-th edge in each test path, calculate the average value of all the performances of the k-th edge, and use the result as the estimated performance of the k-th edge;

[0148] Set the performance threshold;

[0149] Obtain all the test edge sets of the estimated performance, and compare the estimated performance with the performance threshold;

[0150] If the estimated performance is less than the performance threshold, reorganize the cable network.

[0151] In this embodiment, referring to Figure 2 , test path 1 and test path 2 share test edges, and the calculated estimated performance of the load signal of the test edge is less than the performance threshold, then reorganize the cable network subgraph, and both RF connector 1 and RF connector 2 work normally as connectors.

[0152] By measuring the performance of the test path, the transmission quality of each edge in the cable network can be comprehensively understood. By calculating the weight of each edge and performing performance analysis, the contribution degree of each edge and its impact on the overall network performance can be accurately evaluated. The performance of each edge can be analyzed in detail, providing reliable data support for subsequent optimization. If the performance of a certain edge does not meet the requirements, the network structure can be optimized through the reorganization strategy to improve the performance of the overall cable network. It can dynamically respond to the performance changes in the cable network to ensure that the system always maintains the best working state.

[0153] Calculate the number of RF connectors required to reorganize the cable network, and use the RF connectors to reorganize the cable network, including:

[0154] Obtain the test paths where the edges with estimated performance less than the performance threshold are located, and record them as the reorganization paths;

[0155] For the th reorganization path after recombining to generate new paths ;

[0156] Obtain the number of edges in ;

[0157] Set the connection upper limit of each RF connector;

[0158] Obtain the number of normal RF connectors with the connection times less than the connection upper limit in the reorganization paths ;

[0159] Calculate the new path The number of additional RF connectors required ;

[0160] Calculate the number of additional RF connectors required for each new path and record it as the total number of new additions;

[0161] Obtain the installed number of RF connectors in the cable network;

[0162] Obtain the number of faulty RF connectors;

[0163] Calculate the installed number - the number of faults, and record the result as the remaining total;

[0164] If the remaining total is less than the total number of new additions, calculate the total number of new additions - the remaining total, and record the result as the target number;

[0165] Add the target number of virtual RF connectors to the cable network;

[0166] Generate new paths from each reorganized path and reorganize the cable network.

[0167] In this embodiment, referring to Figure 3 , after reorganizing the cable network sub - graph, new path 1 and new path 2 are generated. Among them, the reorganized sub - graph requires 4 normal RF connectors, and both RF connector 1 and RF connector 2 reach the connection limit, so 2 additional RF connectors are added and connected to the cable network as RF connector 3 and RF connector 4. Calculate that the performance of each edge load on new path 1 and new path 2 at this time is greater than the performance threshold, then the reorganization is successful.

[0168] By obtaining the reorganized path and calculating the number of additional RF connectors, the reorganization process of the cable network becomes more systematic and optimized. By clearly calculating the target number and adding virtual RF connectors, the system can effectively optimize the network structure according to actual needs. During the network reorganization process, the number of remaining normal RF connectors is compared with the number of faulty connectors to determine whether new RF connectors need to be added. It can accurately adjust the connector configuration in the cable network, avoid excessive or insufficient resource investment, and ensure a significant improvement in system performance after reorganization.

[0169] Calculate the performance of the reorganized cable network and determine whether the reorganization is successful, including:

[0170] Measure the th new path performance , calculate the th new path The performance occupied by each edge above ;

[0171] Obtain the th new path All new paths where the b-th edge on the new path is located, obtain the performance of the b-th edge in each new path, calculate the average value of all performances, and use it as the performance of the b-th edge;

[0172] Compare the performance of the b-th edge with the performance threshold;

[0173] If the performance of the b-th edge is greater than or equal to the performance threshold, the cable network reorganization is successful;

[0174] If the performance of the b-th edge is less than the performance threshold, the cable network reorganization fails.

[0175] By measuring the performance of the new path and calculating the performance contribution of each edge in the new path, the performance improvement after the cable network reorganization is effectively verified. By comparing the performance of each edge on the new path with the performance threshold, the system can determine whether the reorganization is successful. It can ensure that the reorganization of the cable network can not only improve the overall performance, but also specifically optimize the effect of each edge, so as to achieve refined management. If the reorganization fails, the system can further improve the transmission quality of the network by readjusting and optimizing.

[0176] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device.

[0177] The above is only the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A radio frequency connector test system, characterized in that, Including: A virtual RF test network construction module, which is used to simulate the cable network in the RF test in the system, and the RF signal source inputs test signals into the cable network; Construct a virtual model of the cable network and a transmission model of the signal; install RF connectors at the nodes of the cable network to minimize the number of installed RF connectors; A fault simulation module, which uses RF connectors with adjustable fault types to simulate actual cable network faults; uses a vector network analyzer to measure the S parameters of the cable network, and measures the output power of the test signal through a frequency power meter; Set the faulty RF connectors in the cable network and minimize the number of faulty RF connectors; A performance analysis and determination module; Calculate the performance of the cable network and determine whether the cable network needs to be reorganized; When the performance of the cable network is less than the performance threshold, reorganize the cable network; A cable network reorganization module: calculate the number of RF connectors required to reorganize the cable network, and use RF connectors to reorganize the cable network; A reorganization evaluation and optimization module, which calculates the performance of the reorganized cable network and determines whether the reorganization is successful; If the reorganization fails, repeat the virtual reorganization strategy until the reorganization evaluation strategy determines that the reorganization is successful; Apply the reorganized cable network to the actual cable network, The construction of the virtual model of the cable network and the transmission model of the signal includes: Simulate the cable network in the system as the figure , which consists of nodes and edges connecting the nodes; , where is a set of nodes, E is a set of edges connecting the nodes. When there is a connecting edge between node i and node j, the connecting edge is represented as ; The RF signal source inputs a test signal into the cable network, and the test signal is set with a signal amplitude, a frequency , an initial phase, and a time t; When the test signal input edge is input, calculate the output signal ; , where is the time required for the test signal to propagate from node i to node j, , where is the amplitude attenuation factor; Obtain all the nodes that deliver test signals to node i, and obtain the output signals of each node reaching node i; Calculate the sum of all output signals, and the result is used as the final test signal of node i.

2. The radio frequency connector testing system according to claim 1, wherein The installation of RF connectors at the nodes of the cable network to minimize the number of installed RF connectors includes: Obtain the edges selected for testing in the edge set of graph G to form a test edge set ; Set installation decision variables, which are used to indicate whether to install a radio frequency connector on an edge wherein, if a radio frequency connector is installed on an edge , then ; if a radio frequency connector is not installed on an edge , then ; Set judgment variable ; If , then If , then ; Obtain the cost of installing a radio frequency connector on the edge ; ; Calculate the objective function: , define the constraint conditions , and take the quantity obtained by calculating the objective function as the installation quantity of the RF connector.

3. The RF connector test system according to claim 2, characterized in that, The setting of faulty RF connectors in the cable network and minimizing the number of faulty RF connectors includes: Decompose the figure into multiple sub - figures. The th sub - figure contains multiple nodes and edges; According to the test edge set Generate a test path set , the th test path in the test path set includes an initial node, a target node, and multiple edges from the initial node to the target node; Obtain all the RF connectors installed in the cable network ; Set a fault decision variable, which is used to indicate whether to set a radio frequency connector fault. If a radio frequency connector is faulty, then . If a radio frequency connector is normal, then ; Calculate the objective function , where m is the installation quantity of the RF connectors, is the signal loss factor of the RF connector , and is the weight coefficient used to adjust the influence of the signal loss; Define each test path Connect at least one faulty RF connector ; Define each sub - figure Covered by at least one faulty RF connector ; Calculate the influence of each RF connector ; Obtain the number of faulty RF connectors calculated by the objective function, denoted as the number of faults; Select the number of faulty RF connectors from largest to smallest in terms of influence for simulating the faults of the cable network. Among them, all faulty RF connectors are set to have the same fault type each time of simulation.

4. The RF connector test system according to claim 3, characterized in that The setting of faulty RF connectors in the cable network and minimizing the number of faulty RF connectors further includes: Calculating the signal loss factor of a radio frequency connector Specifically, as follows: The RF connector includes an input end and an output end, and obtains the transmission coefficient of the test signal from the input end to the output end ; Obtain the power of the input radio frequency connector test signal ; Calculate the signal loss factor , .

5. The radio frequency connector testing system according to claim 1, characterized in that, The calculation of the performance of the cable network and the determination of whether the cable network needs to be reorganized includes: Measure the performance of the test path of , where the test path is composed of multiple edges connected end to end; Obtain the length of the test path; Measure the length of each edge on the test path and calculate the length of each edge The length of the test path, and the result is used as the weight of each edge , where \(w_k\) is the weight of the \(k\)-th edge; Calculate the test path The performance of the k-th edge on ; Obtain all the test paths where the k-th edge is located, and calculate the performance of the k-th edge in each test path, and calculate the average value of all the performances of the k-th edge, and the result is used as the estimated performance of the k-th edge; Set the performance threshold; Obtain all test edge sets Estimate the performance, and compare the estimated performance with the performance threshold; If the estimated performance is less than the performance threshold, reorganize the cable network.

6. The RF connector test system according to claim 1, wherein The calculation of the number of RF connectors required to reorganize the cable network and the reorganization of the cable network using RF connectors includes: Obtain the test paths where the edges with estimated performance less than the performance threshold are located, denoted as the reorganization paths; Recombine the th recombination path to generate a new path ; Obtain Number of middle edges ; Set the connection limit of each RF connector; Obtain the number of normal RF connectors in the recombination path whose connection times are less than the connection upper limit ; Calculate the new path The number of additional RF connectors required ; Calculate the number of additional RF connectors required for each new path and denote it as the total number of new additions Obtain the number of installed RF connectors in the cable network; Obtain the number of faults of the faulty RF connectors; Calculate the installed quantity - the number of faults, and the result is denoted as the remaining total; If the remaining total is less than the new total, calculate the new total - the remaining total, and the result is denoted as the target quantity; Add a target number of virtual RF connectors to the cable network; Generate new paths for each reorganized path and reorganize the cable network.

7. The RF connector test system according to claim 6, wherein Calculating the performance of the reorganized cable network and determining whether the reorganization is successful includes: Measure the performance of the new path , and calculate the performance occupied by each edge on the new path ; Obtain the b-th new path All new paths where the b-th edge on is located, obtain the performance of the b-th edge in each new path, and calculate the mean of all performances as the performance of the b-th edge; Compare the performance of the b-th edge with the performance threshold; If the performance of the b-th edge is greater than or equal to the performance threshold, the reorganization of the cable network is successful; If the performance of the b-th edge is less than the performance threshold, the reorganization of the cable network fails.

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