Microwave signal transmission method and system based on non-line-of-sight microwave equipment

Abstract

The present invention relates to the field of signal processing, and discloses a microwave signal transmission method based on non-line-of-sight microwave equipment, including: determining the communication demand of a signal transmission area, determining the microwave frequency band of the signal transmission area; constructing a MIMO antenna structure of the signal transmission area, calculating the spatial separation of the MIMO antenna structure, and constructing a MIMO microwave equipment of the signal transmission area; marking the reflection key nodes of the signal transmission area, constructing a reconfigurable unit of the reflection key nodes, configuring a channel state optimization algorithm of the reconfigurable unit, integrating the reconfigurable unit and the channel state optimization algorithm, obtaining an intelligent reflection surface of the reflection key node, configuring an SDN network of the signal transmission area, analyzing the channel state of the microwave signal, analyzing the reflection parameters of the intelligent reflection surface using the channel state optimization algorithm, and performing efficient transmission of the microwave signal based on the reflection parameters. The present invention can improve the signal quality of microwave signals in a non-line-of-sight transmission environment.

Description

Technical Field

[0001] The invention relates to a microwave signal transmission method and system based on non-line-of-sight microwave equipment, belonging to the field of signal processing. Background Art

[0002] Microwave signal transmission refers to the process of transmitting information using electromagnetic waves in the microwave frequency band. Microwave signal transmission is a key component of modern communication systems, and the development and application of its technology continue to promote the progress of the communications industry.

[0003] Traditional microwave signal transmission methods usually use point-to-point direct transmission or signal relay through fixed relay stations. This method relies on the line of sight (LoS) path, and the design of the communication link is relatively fixed and difficult to adapt to complex and changing environments, resulting in poor signal quality of microwave signal transmission. Summary of the invention

[0004] The present invention provides a microwave signal transmission method and system based on non-line-of-sight microwave equipment, the main purpose of which is to improve the signal quality of microwave signals in a non-line-of-sight transmission environment.

[0005] To achieve the above object, the present invention provides a microwave signal transmission method based on non-line-of-sight microwave equipment, comprising:

[0006] Acquire a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement;

[0007] Constructing a MIMO antenna structure in the signal transmission area, calculating the spatial separation of the MIMO antenna structure, and constructing a MIMO microwave device in the signal transmission area when the spatial separation meets a preset spatial separation threshold;

[0008] Marking the key reflection nodes in the signal transmission area, constructing a reconfigurable unit of the key reflection node according to the microwave frequency band and the non-line-of-sight transmission environment, configuring a channel state optimization algorithm of the reconfigurable unit, integrating the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the key reflection node;

[0009] In combination with the equipment conditions corresponding to the MIMO microwave equipment, an SDN network in the signal transmission area is configured, and microwave signal status data of the MIMO microwave equipment and the intelligent reflective surface are collected based on the SDN network;

[0010] Based on the microwave signal state data, the channel state of the microwave signal is analyzed, based on the channel state, the reflection parameters of the smart reflection surface are analyzed using the channel state optimization algorithm, and based on the reflection parameters, efficient transmission of the microwave signal is performed.

[0011] Optionally, determining the communication requirement of the signal transmission area according to the non-line-of-sight transmission environment includes:

[0012] Identify building information and crowd information in the non-line-of-sight transmission environment;

[0013] Analyzing the building height and building density of the non-line-of-sight transmission environment according to the building information;

[0014] Based on the crowd information, determining the crowd density in the non-line-of-sight transmission environment;

[0015] Marking target obstacles in the non-line-of-sight transmission environment by using the building height and building density;

[0016] and determining a signal path loss in the signal transmission area based on the target obstacle;

[0017] The communication requirements of the signal transmission area are analyzed in combination with the target obstacle, the building height, the building density, the signal path loss, and the crowd density.

[0018] Optionally, determining the signal path loss of the signal transmission area based on the target obstacle includes:

[0019] Determining the signal frequency and propagation distance of the signal transmission area;

[0020] calculating an obstacle loss and a self-focusing loss of the target obstacle;

[0021] The signal path loss in the signal transmission area is calculated by combining the obstacle loss, the self-focusing loss, the signal frequency and the propagation distance using the following formula:

[0022] ;

[0023] in, Indicates the signal path loss in the area where the signal is transmitted, represents the signal frequency, represents the propagation distance, Indicates the obstacle loss, represents the self-focusing loss, 32.45 represents the path constant decibel, Represents the common logarithm to base 10.

[0024] Optionally, the determining a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement includes:

[0025] Analyzing microwave frequency band characteristics of the signal transmission area, wherein the microwave frequency band characteristics include diffraction, reflection, and atmospheric absorption;

[0026] Defining microwave frequency band interference sources in the signal transmission area;

[0027] In combination with the non-line-of-sight transmission environment, the communication requirements, the microwave frequency band interference source, and the microwave frequency band characteristics, marking the potential microwave frequency band of the signal transmission area;

[0028] configuring a specific simulation environment for the potential microwave frequency band;

[0029] Determining microwave frequency band performance of the potential microwave frequency band using the specific simulation environment;

[0030] Based on the microwave frequency band performance, a microwave frequency band of the signal transmission area is determined.

[0031] Optionally, calculating the spatial separation of the MIMO antenna structure includes:

[0032] Marking antenna elements of the MIMO antenna structure;

[0033] Constructing a unit coordinate system of the antenna unit, and defining the unit coordinates of the antenna unit based on the unit coordinate system;

[0034] calculating an antenna unit distance of the antenna unit according to the unit coordinates;

[0035] identifying a radiation pattern of the antenna element;

[0036] Calculating the spatial correlation of the MIMO antenna structure based on the radiation pattern and the antenna element distance;

[0037] The spatial separation of the MIMO antenna structure is calculated using the following formula through the spatial correlation:

[0038] ;

[0039] in, represents the spatial separation of the MIMO antenna structure, represents the common logarithm with base 10, Represents the spatial correlation of the MIMO antenna structure.

[0040] Optionally, calculating the spatial correlation of the MIMO antenna structure based on the radiation pattern and the antenna unit distance includes:

[0041] analyzing the complex conjugate of the radiation pattern;

[0042] Defining a solid angle element of the MIMO antenna structure based on the antenna element distance;

[0043] The spatial correlation of the MIMO antenna structure is calculated using the following formula according to the radiation pattern, the complex conjugate, the antenna unit distance and the solid angle element:

[0044] ;

[0045] in, Indicates the antenna unit corresponding to the MIMO antenna structure and antenna unit In the direction The spatial correlation on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The radiation pattern on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The radiation pattern on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The complex conjugate of the radiation pattern above, Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The complex conjugate of the radiation pattern above, represents the solid angle element, represents the pitch angle, represents the azimuth, represents the antenna unit distance, Indicates the angle range.

[0046] Optionally, marking the reflection key node of the signal transmission area includes:

[0047] Setting device parameters of the MIMO microwave device corresponding to the signal transmission area in a preset ray tracing software;

[0048] Based on the device parameters, tracing a signal path of the signal transmission area;

[0049] marking a reflection path of the signal path;

[0050] identifying a signal reflection strength of the reflection path;

[0051] Based on the signal reflection intensity, a reflection key node of the signal transmission area is determined.

[0052] Optionally, the step of integrating the reconfigurable unit and the channel state optimization algorithm to obtain the intelligent reflection surface of the reflection key node includes:

[0053] constructing a two-dimensional surface of the reflection key node;

[0054] Integrating the reconfigurable unit onto the two-dimensional surface to obtain an initial smart reflective surface;

[0055] Verifying the reliability of the channel state optimization algorithm for dynamically adjusting parameters of the initial intelligent reflective surface;

[0056] When the parameter dynamic adjustment reliability meets a preset adjustment reliability threshold, the channel state optimization algorithm is integrated into the initial intelligent reflection surface to obtain the intelligent reflection surface of the reflection key node.

[0057] Optionally, configuring the SDN network of the signal transmission area in combination with the device condition corresponding to the MIMO microwave device includes:

[0058] Analyzing the communication network requirements of the MIMO microwave equipment;

[0059] Based on the communication network requirements, determining an SDN controller for the MIMO microwave device;

[0060] Defining SDN protocols and APIs of the SDN controller;

[0061] Configuring the network devices of the SDN controller through the SDN protocol and API;

[0062] Using the SDN controller to send a flow table to the network device to obtain a target network device;

[0063] Based on the SDN controller, the SDN protocol, the API and the target network device, an SDN network in the signal transmission area is constructed.

[0064] In order to solve the above problems, the present invention also provides a microwave signal transmission system based on non-line-of-sight microwave equipment, the system comprising:

[0065] A microwave frequency band determination module, used to obtain a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement;

[0066] A MIMO microwave device configuration module, used to construct a MIMO antenna structure in the signal transmission area, calculate the spatial separation of the MIMO antenna structure, and construct a MIMO microwave device in the signal transmission area when the spatial separation meets a preset spatial separation threshold;

[0067] An intelligent reflection surface construction module is used to mark the reflection key nodes in the signal transmission area, construct a reconfigurable unit of the reflection key nodes according to the microwave frequency band and the non-line-of-sight transmission environment, configure a channel state optimization algorithm of the reconfigurable unit, and integrate the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the reflection key node;

[0068] A signal status data collection module, configured to configure the SDN network of the signal transmission area in combination with the device conditions corresponding to the MIMO microwave device, and to collect microwave signal status data of the MIMO microwave device and the intelligent reflective surface based on the SDN network;

[0069] A signal reflection parameter optimization module is used to analyze the channel state of the microwave signal based on the microwave signal state data, analyze the reflection parameters of the smart reflection surface based on the channel state using the channel state optimization algorithm, and perform efficient transmission of the microwave signal based on the reflection parameters.

[0070] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0071] at least one processor; and,

[0072] a memory communicatively connected to the at least one processor; wherein,

[0073] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned microwave signal transmission method based on non-line-of-sight microwave equipment.

[0074] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned microwave signal transmission method based on non-line-of-sight microwave equipment.

[0075] Compared with the problems described in the background technology, the present invention determines the communication needs of the signal transmission area according to the non-line-of-sight transmission environment, which can ensure that the communication needs of the signal transmission area are met in the non-line-of-sight transmission environment, and ensure the stability and reliability of the communication network; optionally, the present invention determines the microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication needs, which can ensure that the selected microwave frequency band can adapt to the non-line-of-sight transmission environment and meet the communication needs, thereby laying the foundation for building an efficient and reliable wireless communication system; further, the present invention determines the performance of the MIMO antenna structure by calculating the spatial separation of the MIMO antenna structure, thereby improving the transmission effect of microwave signals in a non-line-of-sight environment; further, when the spatial separation meets the preset spatial separation threshold, the present invention constructs the MIMO microwave device of the signal transmission area. A MIMO microwave device that meets the preset spatial separation threshold can be constructed, thereby achieving efficient and reliable communication within the signal transmission area. Wireless communication, further, the present invention can effectively mark the key reflection nodes in the signal transmission area by marking the key reflection nodes in the signal transmission area, providing important reference information for the optimization of the wireless communication network, further, the present invention combines the equipment conditions corresponding to the MIMO microwave equipment, configures the SDN network in the signal transmission area, and can establish an SDN network that matches the equipment conditions corresponding to the MIMO microwave equipment, thereby achieving more flexible and efficient network management and optimization, and then, based on the microwave signal state data, the present invention analyzes the channel state of the microwave signal, which can be used as an input parameter for the subsequent channel state optimization algorithm analysis, thereby improving the effect of microwave signal transmission, and finally, based on the channel state, the present invention uses the channel state optimization algorithm to analyze the reflection parameters of the intelligent reflection surface, which can change the propagation direction, intensity and phase of the reflected signal, thereby optimizing the performance of signal transmission, improving the signal-to-noise ratio, reducing interference, and enhancing signal coverage in a specific direction. Therefore, the present invention can improve the signal quality of microwave signals in non-line-of-sight transmission environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 A schematic flow chart of a microwave signal transmission method based on a non-line-of-sight microwave device provided in one embodiment of the present invention;

[0077] Figure 2 A functional module diagram of a microwave signal transmission system based on a non-line-of-sight microwave device provided in one embodiment of the present invention;

[0078] Figure 3 A schematic structural diagram of an electronic device of a microwave signal transmission system based on a non-line-of-sight microwave device provided in one embodiment of the present invention;

[0079] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0081] The embodiment of the present application provides a microwave signal transmission method based on a non-line-of-sight microwave device. The execution subject of the microwave signal transmission method based on a non-line-of-sight microwave device includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the microwave signal transmission method based on a non-line-of-sight microwave device can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0082] Embodiment 1:

[0083] Reference Figure 1 FIG. 1 is a flow chart of a microwave signal transmission method based on a non-line-of-sight microwave device provided in one embodiment of the present invention. In this embodiment, the microwave signal transmission method based on a non-line-of-sight microwave device includes:

[0084] S1. Acquire a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement.

[0085] It should be explained that the signal transmission area refers to the specific geographical range where microwave signals are transmitted. This area can be part of a city, a rural area, a mountainous area, or any place that requires communication coverage. The non-line-of-sight transmission environment refers to an environment within the signal transmission area where microwave signals cannot propagate from the transmitting antenna to the receiving antenna along a straight path due to obstruction by buildings, terrain, vegetation or other obstacles.

[0086] The present invention determines the communication demand of the signal transmission area according to the non-line-of-sight transmission environment, which can ensure that the communication demand of the signal transmission area is met in the non-line-of-sight transmission environment and guarantee the stability and reliability of the communication network.

[0087] In detail, determining the communication requirements of the signal transmission area according to the non-line-of-sight transmission environment includes:

[0088] Identify building information and crowd information in the non-line-of-sight transmission environment;

[0089] Analyzing the building height and building density of the non-line-of-sight transmission environment according to the building information;

[0090] Based on the crowd information, determining the crowd density in the non-line-of-sight transmission environment;

[0091] Marking target obstacles in the non-line-of-sight transmission environment by using the building height and building density;

[0092] and determining a signal path loss in the signal transmission area based on the target obstacle;

[0093] The communication requirements of the signal transmission area are analyzed in combination with the target obstacle, the building height, the building density, the signal path loss, and the crowd density.

[0094] Among them, the building information refers to data about all buildings in the area, including the location, size, shape, material, purpose (such as residential, commercial, industrial) and other data of the buildings; the crowd information refers to data about the population in the area, including population size, distribution, activity mode (such as work, life, entertainment), mobility and other data; the building height refers to the data on the maximum height of buildings in the area; the building density refers to the density of buildings per unit area; the crowd density refers to the number of people per unit area; the target obstacle refers to those buildings or other objects that may block or reflect signal propagation; the signal path loss refers to the energy attenuation caused by various factors (such as distance, obstacles, atmospheric conditions, etc.) during the propagation of the signal; the communication demand refers to the technical and service standards that must be met in order to meet the communication needs of users in the area, including indicators such as coverage, data rate, capacity, delay, reliability, etc.

[0095] Further, determining the signal path loss of the signal transmission area based on the target obstacle includes:

[0096] Determining the signal frequency and propagation distance of the signal transmission area;

[0097] calculating an obstacle loss and a self-focusing loss of the target obstacle;

[0098] The signal path loss in the signal transmission area is calculated by combining the obstacle loss, the self-focusing loss, the signal frequency and the propagation distance using the following formula:

[0099] ;

[0100] in, Indicates the signal path loss in the area where the signal is transmitted, represents the signal frequency, represents the propagation distance, Indicates the obstacle loss, represents the self-focusing loss, 32.45 represents the path constant decibel, Represents the common logarithm to base 10.

[0101] Among them, the signal frequency refers to the frequency used by the signal during transmission, the propagation distance refers to the straight-line distance of the signal from the transmitting antenna to the receiving antenna, the obstacle loss refers to the additional loss caused by the signal encountering obstacles such as buildings and terrain during the propagation process, and the self-focusing loss refers to the loss caused by insufficient energy concentration or dispersion due to multipath effects or other reasons during the propagation of the signal.

[0102] Optionally, the present invention combines the non-line-of-sight transmission environment and the communication requirements to determine the microwave frequency band of the signal transmission area to ensure that the selected microwave frequency band can adapt to the non-line-of-sight transmission environment and meet the communication requirements, thereby laying the foundation for building an efficient and reliable wireless communication system.

[0103] In detail, the determining the microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement includes:

[0104] Analyzing microwave frequency band characteristics of the signal transmission area, wherein the microwave frequency band characteristics include diffraction, reflection, and atmospheric absorption;

[0105] Defining microwave frequency band interference sources in the signal transmission area;

[0106] In combination with the non-line-of-sight transmission environment, the communication requirements, the microwave frequency band interference source, and the microwave frequency band characteristics, marking the potential microwave frequency band of the signal transmission area;

[0107] configuring a specific simulation environment for the potential microwave frequency band;

[0108] Determining microwave frequency band performance of the potential microwave frequency band using the specific simulation environment;

[0109] Based on the microwave frequency band performance, a microwave frequency band of the signal transmission area is determined.

[0110] Among them, the diffraction refers to the phenomenon that microwaves can bypass obstacles and continue to propagate when encountering the edge of obstacles, the reflection refers to the phenomenon that microwaves partially or completely return energy to the propagation medium when encountering the surface of obstacles, the atmospheric absorption refers to the energy loss caused by water vapor, oxygen, nitrogen and other molecules in the atmosphere during the propagation of microwaves, the microwave frequency band interference source refers to other signal sources that may interfere with microwave signal transmission, such as other wireless communication systems, radars, microwave ovens, satellite communications and other interference sources, the potential microwave frequency band refers to the microwave frequency range that may be suitable for signal transmission under a given non-line-of-sight transmission environment and communication requirements, and the specific simulation environment refers to a computer model constructed to evaluate the performance of potential microwave frequency bands. This environment simulates the geographical features, obstacles, climatic conditions, etc. of the actual signal transmission area, the microwave frequency band performance refers to the transmission effect of microwave signals in a specific frequency band under certain conditions, and the microwave frequency band refers to a specific frequency range in the electromagnetic spectrum.

[0111] Optionally, the specific simulation environment for configuring the potential microwave frequency band can be implemented using 3Dmax software.

[0112] S2. Construct a MIMO antenna structure in the signal transmission area, calculate the spatial separation of the MIMO antenna structure, and when the spatial separation meets a preset spatial separation threshold, construct a MIMO microwave device in the signal transmission area.

[0113] It should be explained that the MIMO antenna structure refers to the physical and electrical design in a wireless communication system that implements the above-mentioned functions by configuring multiple transmitting and receiving antennas, thereby improving communication performance by utilizing spatial diversity.

[0114] The present invention determines the performance of the MIMO antenna structure by calculating the spatial separation of the MIMO antenna structure, thereby improving the transmission effect of microwave signals in a non-line-of-sight environment.

[0115] In detail, the calculating the spatial separation of the MIMO antenna structure includes:

[0116] Marking antenna elements of the MIMO antenna structure;

[0117] Constructing a unit coordinate system of the antenna unit, and defining the unit coordinates of the antenna unit based on the unit coordinate system;

[0118] calculating an antenna unit distance of the antenna unit according to the unit coordinates;

[0119] identifying a radiation pattern of the antenna element;

[0120] Calculating the spatial correlation of the MIMO antenna structure based on the radiation pattern and the antenna element distance;

[0121] The spatial separation of the MIMO antenna structure is calculated using the following formula through the spatial correlation:

[0122] ;

[0123] in, represents the spatial separation of the MIMO antenna structure, represents the common logarithm with base 10, Represents the spatial correlation of the MIMO antenna structure.

[0124] Among them, the antenna unit refers to the basic component unit in the MIMO antenna structure, the unit coordinate system refers to a coordinate system introduced to describe the position of each antenna unit, the unit coordinate refers to the coordinate of each antenna unit based on the unit coordinate system, and its position in the coordinate system, the antenna unit distance refers to the Euclidean distance calculated according to their coordinates in the unit coordinate system, the radiation pattern refers to the description of the radiation intensity of the antenna unit in different directions, the spatial correlation refers to the description of the correlation between the signals received by different antenna units, and the spatial separation refers to an indicator to measure the degree of spatial diversity between antenna units in the MIMO system.

[0125] Further, the calculating the spatial correlation of the MIMO antenna structure based on the radiation pattern and the antenna unit distance includes:

[0126] analyzing the complex conjugate of the radiation pattern;

[0127] Defining a solid angle element of the MIMO antenna structure based on the antenna element distance;

[0128] The spatial correlation of the MIMO antenna structure is calculated using the following formula according to the radiation pattern, the complex conjugate, the antenna unit distance and the solid angle element:

[0129] ;

[0130] in, Indicates the antenna unit corresponding to the MIMO antenna structure and antenna unit In the direction The spatial correlation on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The radiation pattern on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The radiation pattern on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The complex conjugate of the radiation pattern above, Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The complex conjugate of the radiation pattern above, represents the solid angle element, represents the pitch angle, represents the azimuth, represents the antenna unit distance, Indicates the angle range.

[0131] Among them, the complex conjugate is the conjugate of the complex value of the radiation pattern of the antenna unit in a specific direction, the solid angle element refers to the size of the solid angle corresponding to the projection of a tiny surface element on the spherical surface in the spherical coordinate system, the elevation angle refers to the angle between the main radiation direction of the antenna and the vertical plane of the signal line, the azimuth angle refers to the angle between the projection of the main radiation direction of the antenna to the horizontal plane of the signal line and the reference direction, and the angle range refers to the range covered by the elevation angle and the azimuth angle when calculating the spatial correlation.

[0132] In the present invention, when the spatial separation meets the preset spatial separation threshold, the MIMO microwave device for constructing the signal transmission area can construct a MIMO microwave device that meets the preset spatial separation threshold, thereby achieving efficient and reliable wireless communication in the signal transmission area. The spatial separation threshold refers to a threshold used to determine whether the spatial separation meets the requirements, and the MIMO microwave device refers to a device that uses multiple transmitting and receiving antennas to improve wireless communication performance.

[0133] S3. Mark the key reflection nodes in the signal transmission area, construct a reconfigurable unit of the key reflection node according to the microwave frequency band and the non-line-of-sight transmission environment, configure a channel state optimization algorithm of the reconfigurable unit, integrate the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the key reflection node.

[0134] The present invention can effectively mark the key reflection nodes in the signal transmission area by marking the key reflection nodes in the signal transmission area, thereby providing important reference information for the optimization of the wireless communication network.

[0135] In detail, marking the reflection key nodes of the signal transmission area includes:

[0136] Setting device parameters of the MIMO microwave device corresponding to the signal transmission area in a preset ray tracing software;

[0137] Based on the device parameters, tracing a signal path of the signal transmission area;

[0138] marking a reflection path of the signal path;

[0139] identifying a signal reflection strength of the reflection path;

[0140] Based on the signal reflection intensity, a reflection key node of the signal transmission area is determined.

[0141] Among them, the ray tracing software refers to a computational tool that simulates the propagation behavior of electromagnetic waves in a complex environment; the device parameters refer to the technical specifications and configuration settings related to the wireless communication equipment, including the antenna's position, directivity, gain, polarization mode, transmission frequency, power, MIMO antenna layout and unit spacing, etc.; the signal path refers to the signal propagation path from the transmitting antenna to the receiving antenna, including a direct path and an indirect path through various obstacles; the reflection path refers to the propagation path where the signal is reflected when encountering obstacles such as buildings and the ground; the signal reflection intensity refers to the proportion of energy retained by the signal during the reflection process; and the reflection key node refers to the reflection point that has a significant impact on the signal strength and propagation characteristics during the signal propagation process.

[0142] Optionally, the signal reflection intensity for identifying the reflection path may be analyzed by an intensity ratio of the reflected wave to the incident wave.

[0143] It should be explained that the reconfigurable unit refers to a component that can change its physical or electrical properties during operation. The reconfigurable unit provides a flexible, efficient and adaptable solution for wireless communications and electronic systems, which can maintain optimal performance in a changing environment.

[0144] In detail, the present invention configures the channel state optimization algorithm of the reconfigurable unit, integrates the reconfigurable unit and the channel state optimization algorithm, and obtains the intelligent reflection surface of the reflection key node, which can adjust its reflection characteristics in real time according to the channel state optimization algorithm, thereby realizing efficient signal transmission and reception in the wireless communication system. Among them, the channel state optimization algorithm refers to an algorithm for optimizing the channel state in the wireless communication system. It adjusts the parameters of the reconfigurable unit to maximize the signal transmission efficiency and minimize interference and attenuation. The intelligent reflection surface refers to a two-dimensional surface composed of a large number of reconfigurable units.

[0145] In detail, the step of integrating the reconfigurable unit and the channel state optimization algorithm to obtain the intelligent reflection surface of the reflection key node includes:

[0146] constructing a two-dimensional surface of the reflection key node;

[0147] Integrating the reconfigurable unit onto the two-dimensional surface to obtain an initial smart reflective surface;

[0148] Verifying the reliability of the channel state optimization algorithm for dynamically adjusting parameters of the initial intelligent reflective surface;

[0149] When the parameter dynamic adjustment reliability meets a preset adjustment reliability threshold, the channel state optimization algorithm is integrated into the initial intelligent reflection surface to obtain the intelligent reflection surface of the reflection key node.

[0150] Among them, the two-dimensional surface refers to a planar structure, which can be of any shape and size, and is used to carry a reconfigurable unit. The initial intelligent reflective surface refers to a surface formed after the reconfigurable unit is initially integrated on the two-dimensional surface. The parameter dynamic adjustment reliability refers to the accuracy and stability of the intelligent reflective surface adjusting the reconfigurable unit parameters according to the channel state optimization algorithm in real-time operation. The adjustment reliability threshold refers to a preset performance standard used to evaluate whether the reliability of dynamic parameter adjustment reaches an acceptable level.

[0151] S4. In combination with the equipment conditions corresponding to the MIMO microwave equipment, configure the SDN network in the signal transmission area, and collect microwave signal status data of the MIMO microwave equipment and the intelligent reflective surface based on the SDN network.

[0152] The present invention configures the SDN network of the signal transmission area in combination with the equipment conditions corresponding to the MIMO microwave equipment to establish an SDN network that matches the equipment conditions corresponding to the MIMO microwave equipment, thereby achieving more flexible and efficient network management and optimization.

[0153] In detail, configuring the SDN network in the signal transmission area in combination with the device conditions corresponding to the MIMO microwave device includes:

[0154] Analyzing the communication network requirements of the MIMO microwave equipment;

[0155] Based on the communication network requirements, determining an SDN controller for the MIMO microwave device;

[0156] Defining SDN protocols and APIs of the SDN controller;

[0157] Configuring the network devices of the SDN controller through the SDN protocol and API;

[0158] Using the SDN controller to send a flow table to the network device to obtain a target network device;

[0159] Based on the SDN controller, the SDN protocol, the API and the target network device, an SDN network in the signal transmission area is constructed.

[0160] Among them, the communication network requirements refer to a series of technical specifications and performance indicators that MIMO microwave equipment must meet during the communication process. These requirements may include data transmission rate, bandwidth, signal coverage, bit error rate, delay, synchronization accuracy, network capacity, quality of service (QoS), security, reliability and scalability. The SDN controller is the brain in the SDN network, responsible for managing and controlling the behavior of network devices. The SDN protocol refers to the protocol used for communication between the SDN controller and network devices. Common SDN protocols include OpenFlow, OF-Config, NetConf, P4 and other protocols. The API is a set of programming interfaces provided by the SDN controller. The network device refers to a hardware device such as a switch or router in the SDN network. The flow table delivery refers to the process in which the SDN controller sends the flow table (including data packet processing rules) to the network device. The target network device refers to the specific network device specified in the process of sending the flow table. The SDN network refers to a network using a software-defined network architecture.

[0161] Optionally, the SDN controller is used to send a flow table to the network device to obtain how the target network device processes the data packets entering the network device, including matching conditions, actions (such as forwarding, discarding, modifying, etc.) and priorities.

[0162] It should be explained that the microwave signal status data refers to various parameters and information related to microwave signal propagation and reception, including signal strength, signal quality, path loss, multipath effect and other parameters.

[0163] S5. Analyze the channel state of the microwave signal based on the microwave signal state data, analyze the reflection parameters of the smart reflection surface based on the channel state using the channel state optimization algorithm, and perform efficient transmission of the microwave signal based on the reflection parameters.

[0164] The present invention is based on the microwave signal state data, and the analysis of the channel state of the microwave signal can be used as an input parameter for the subsequent channel state optimization algorithm analysis, thereby improving the effect of microwave signal transmission. Wherein, the channel state refers to the characteristics of the wireless communication channel at a specific time and frequency, which includes information such as channel gain, phase, multipath component, path loss, Doppler frequency shift, signal-to-noise ratio (SNR), channel capacity, etc. Channel state information (CSI) is crucial for wireless communication systems because it determines the propagation quality of the signal in the channel. By analyzing the channel state, it is possible to understand the impact of the signal during transmission, such as indicators such as fading, interference and noise.

[0165] Finally, the present invention analyzes the reflection parameters of the intelligent reflection surface based on the channel state using the channel state optimization algorithm to change the propagation direction, intensity and phase of the reflected signal, thereby optimizing the performance of signal transmission, improving the signal-to-noise ratio, reducing interference, and enhancing signal coverage in a specific direction. Among them, the reflection parameters refer to various parameters involved in the process of adjusting the microwave signal reflection of the intelligent reflection surface (IRS), including phase offset, amplitude adjustment, polarization control, beamforming, etc.

[0166] Compared with the problems described in the background technology, the present invention determines the communication needs of the signal transmission area according to the non-line-of-sight transmission environment, which can ensure that the communication needs of the signal transmission area are met in the non-line-of-sight transmission environment, and ensure the stability and reliability of the communication network; optionally, the present invention determines the microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication needs, which can ensure that the selected microwave frequency band can adapt to the non-line-of-sight transmission environment and meet the communication needs, thereby laying the foundation for building an efficient and reliable wireless communication system; further, the present invention determines the performance of the MIMO antenna structure by calculating the spatial separation of the MIMO antenna structure, thereby improving the transmission effect of microwave signals in a non-line-of-sight environment; further, when the spatial separation meets the preset spatial separation threshold, the present invention constructs the MIMO microwave device of the signal transmission area. A MIMO microwave device that meets the preset spatial separation threshold can be constructed, thereby achieving efficient and reliable communication within the signal transmission area. Wireless communication, further, the present invention can effectively mark the key reflection nodes in the signal transmission area by marking the key reflection nodes in the signal transmission area, providing important reference information for the optimization of the wireless communication network, further, the present invention combines the equipment conditions corresponding to the MIMO microwave equipment, configures the SDN network in the signal transmission area, and can establish an SDN network that matches the equipment conditions corresponding to the MIMO microwave equipment, thereby achieving more flexible and efficient network management and optimization, and then, based on the microwave signal state data, the present invention analyzes the channel state of the microwave signal, which can be used as an input parameter for the subsequent channel state optimization algorithm analysis, thereby improving the effect of microwave signal transmission, and finally, based on the channel state, the present invention uses the channel state optimization algorithm to analyze the reflection parameters of the intelligent reflection surface, which can change the propagation direction, intensity and phase of the reflected signal, thereby optimizing the performance of signal transmission, improving the signal-to-noise ratio, reducing interference, and enhancing signal coverage in a specific direction. Therefore, the present invention can improve the signal quality of microwave signals in non-line-of-sight transmission environments.

[0167] Embodiment 2:

[0168] like Figure 2 , which is a functional module diagram of a microwave signal transmission system based on a non-line-of-sight microwave device provided by an embodiment of the present invention.

[0169] The microwave signal transmission system 200 based on non-line-of-sight microwave equipment of the present invention can be installed in an electronic device. According to the functions to be implemented, the microwave signal transmission system 200 based on non-line-of-sight microwave equipment can include a microwave frequency band determination module 201, a MIMO microwave equipment configuration module 202, an intelligent reflection surface construction module 203, a signal state number acquisition module 204 and a signal reflection parameter optimization module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0170] In this embodiment, the functions of each module / unit are as follows:

[0171] The microwave frequency band determination module 201 is used to obtain a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement;

[0172] The MIMO microwave device configuration module 202 is used to construct the MIMO antenna structure of the signal transmission area, calculate the spatial separation of the MIMO antenna structure, and when the spatial separation meets the preset spatial separation threshold, construct the MIMO microwave device of the signal transmission area;

[0173] The smart reflection surface construction module 203 is used to mark the reflection key nodes in the signal transmission area, construct a reconfigurable unit of the reflection key nodes according to the microwave frequency band and the non-line-of-sight transmission environment, configure a channel state optimization algorithm of the reconfigurable unit, and integrate the reconfigurable unit and the channel state optimization algorithm to obtain the smart reflection surface of the reflection key node;

[0174] The signal status data collection module 204 is used to configure the SDN network of the signal transmission area in combination with the device conditions corresponding to the MIMO microwave device, and collect the microwave signal status data of the MIMO microwave device and the intelligent reflective surface based on the SDN network;

[0175] The signal reflection parameter optimization module 205 is used to analyze the channel state of the microwave signal based on the microwave signal state data, analyze the reflection parameters of the smart reflection surface based on the channel state using the channel state optimization algorithm, and perform efficient transmission of the microwave signal based on the reflection parameters.

[0176] In detail, the modules described in the microwave signal transmission system 200 based on non-line-of-sight microwave equipment in the embodiment of the present invention adopt the same technical means as the microwave signal transmission method based on non-line-of-sight microwave equipment described in the accompanying drawings when in use, and can produce the same technical effects, which will not be repeated here.

[0177] An embodiment of the present invention provides an electronic device for implementing a microwave signal transmission method based on a non-line-of-sight microwave device.

[0178] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a microwave signal transmission method program based on a non-line-of-sight microwave device.

[0179] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips, etc. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (for example, executing microwave signal transmission programs based on non-line-of-sight microwave devices, etc.), and calling data stored in the memory.

[0180] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory can be used not only to store application software and various types of data installed in the electronic device, such as codes based on microwave signal transmission programs based on non-line-of-sight microwave devices, but also to temporarily store data that has been output or is to be output.

[0181] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0182] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0183] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0184] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0185] The microwave signal transmission program based on the non-line-of-sight microwave device stored in the memory of the electronic device is a combination of multiple instructions, and when running in the processor, it can achieve:

[0186] Acquire a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement;

[0187] Constructing a MIMO antenna structure in the signal transmission area, calculating the spatial separation of the MIMO antenna structure, and constructing a MIMO microwave device in the signal transmission area when the spatial separation meets a preset spatial separation threshold;

[0188] Marking the key reflection nodes in the signal transmission area, constructing a reconfigurable unit of the key reflection node according to the microwave frequency band and the non-line-of-sight transmission environment, configuring a channel state optimization algorithm of the reconfigurable unit, integrating the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the key reflection node;

[0189] In combination with the equipment conditions corresponding to the MIMO microwave equipment, an SDN network in the signal transmission area is configured, and microwave signal status data of the MIMO microwave equipment and the intelligent reflective surface are collected based on the SDN network;

[0190] Based on the microwave signal state data, the channel state of the microwave signal is analyzed, based on the channel state, the reflection parameters of the smart reflection surface are analyzed using the channel state optimization algorithm, and based on the reflection parameters, efficient transmission of the microwave signal is performed.

[0191] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0192] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system that can carry the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0193] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0194] Acquire a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement;

[0195] Constructing a MIMO antenna structure in the signal transmission area, calculating the spatial separation of the MIMO antenna structure, and constructing a MIMO microwave device in the signal transmission area when the spatial separation meets a preset spatial separation threshold;

[0196] Marking the key reflection nodes in the signal transmission area, constructing a reconfigurable unit of the key reflection node according to the microwave frequency band and the non-line-of-sight transmission environment, configuring a channel state optimization algorithm of the reconfigurable unit, integrating the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the key reflection node;

[0197] In combination with the equipment conditions corresponding to the MIMO microwave equipment, an SDN network in the signal transmission area is configured, and microwave signal status data of the MIMO microwave equipment and the intelligent reflective surface are collected based on the SDN network;

[0198] Based on the microwave signal state data, the channel state of the microwave signal is analyzed, based on the channel state, the reflection parameters of the smart reflection surface are analyzed using the channel state optimization algorithm, and based on the reflection parameters, efficient transmission of the microwave signal is performed.

[0199] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0200] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0201] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0202] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0203] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0204] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0205] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. A microwave signal transmission method based on non-line-of-sight microwave equipment, characterized in that: The method comprises: Acquire a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement, wherein determining the communication requirement of the signal transmission area according to the non-line-of-sight transmission environment includes: identifying building information and crowd information of the non-line-of-sight transmission environment, analyzing a building height and a building density of the non-line-of-sight transmission environment according to the building information, determining a crowd density of the non-line-of-sight transmission environment based on the crowd information, and marking a target obstacle of the non-line-of-sight transmission environment according to the building height and the building density. The target obstacle is determined, and based on the target obstacle, the signal path loss of the signal transmission area is determined, and the communication demand of the signal transmission area is analyzed in combination with the target obstacle, the building height, the building density, the signal path loss and the crowd density, wherein the signal path loss of the signal transmission area is determined based on the target obstacle, including: determining the signal frequency and propagation distance of the signal transmission area, calculating the obstacle loss and self-focusing loss of the target obstacle, and combining the obstacle loss, the self-focusing loss, the signal frequency and the propagation distance, using the following formula to calculate the signal path loss of the signal transmission area: ； in, Indicates the signal path loss in the area where the signal is transmitted, represents the signal frequency, represents the propagation distance, Indicates the obstacle loss, represents the self-focusing loss, 32.45 represents the path constant decibel, represents the common logarithm with base 10; Constructing a MIMO antenna structure in the signal transmission area, calculating the spatial separation of the MIMO antenna structure, and constructing a MIMO microwave device in the signal transmission area when the spatial separation meets a preset spatial separation threshold; Marking the key reflection nodes in the signal transmission area, constructing a reconfigurable unit of the key reflection node according to the microwave frequency band and the non-line-of-sight transmission environment, configuring a channel state optimization algorithm of the reconfigurable unit, integrating the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the key reflection node; In combination with the equipment conditions corresponding to the MIMO microwave equipment, an SDN network in the signal transmission area is configured, and microwave signal status data of the MIMO microwave equipment and the intelligent reflective surface are collected based on the SDN network; Based on the microwave signal state data, the channel state of the microwave signal is analyzed, based on the channel state, the reflection parameters of the smart reflection surface are analyzed using the channel state optimization algorithm, and based on the reflection parameters, efficient transmission of the microwave signal is performed.

2. The microwave signal transmission method based on non-line-of-sight microwave equipment according to claim 1, characterized in that: The determining the microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement includes: Analyzing microwave frequency band characteristics of the signal transmission area, wherein the microwave frequency band characteristics include diffraction, reflection, and atmospheric absorption; Defining microwave frequency band interference sources in the signal transmission area; In combination with the non-line-of-sight transmission environment, the communication requirements, the microwave frequency band interference source, and the microwave frequency band characteristics, marking the potential microwave frequency band of the signal transmission area; configuring a specific simulation environment for the potential microwave frequency band; determining microwave frequency band performance of the potential microwave frequency band using the specific simulation environment; Based on the microwave frequency band performance, a microwave frequency band of the signal transmission area is determined.

3. The microwave signal transmission method based on non-line-of-sight microwave equipment according to claim 2, characterized in that: The calculating the spatial separation of the MIMO antenna structure comprises: Marking antenna elements of the MIMO antenna structure; Constructing a unit coordinate system of the antenna unit, and defining the unit coordinates of the antenna unit based on the unit coordinate system; calculating an antenna unit distance of the antenna unit according to the unit coordinates; identifying a radiation pattern of the antenna element; Calculating the spatial correlation of the MIMO antenna structure based on the radiation pattern and the antenna element distance; The spatial separation of the MIMO antenna structure is calculated using the following formula through the spatial correlation: ； in, represents the spatial separation of the MIMO antenna structure, represents the common logarithm with base 10, Represents the spatial correlation of the MIMO antenna structure.

4. The microwave signal transmission method based on non-line-of-sight microwave equipment according to claim 3, characterized in that: The calculating the spatial correlation of the MIMO antenna structure based on the radiation pattern and the antenna unit distance includes: analyzing the complex conjugate of the radiation pattern; Defining a solid angle element of the MIMO antenna structure based on the antenna element distance; The spatial correlation of the MIMO antenna structure is calculated using the following formula according to the radiation pattern, the complex conjugate, the antenna unit distance and the solid angle element: ； in, Indicates the antenna unit corresponding to the MIMO antenna structure and antenna unit In the direction The spatial correlation on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The radiation pattern on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The radiation pattern on Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The complex conjugate of the upper radiation pattern, Indicates the antenna unit corresponding to the MIMO antenna structure In the direction The complex conjugate of the upper radiation pattern, represents the solid angle element, represents the pitch angle, represents the azimuth, represents the antenna unit distance, Indicates the angle range.

5. The microwave signal transmission method based on non-line-of-sight microwave equipment according to claim 4, characterized in that: The marking of the reflection key node of the signal transmission area includes: Setting device parameters of the MIMO microwave device corresponding to the signal transmission area in a preset ray tracing software; Based on the device parameters, tracing a signal path of the signal transmission area; marking a reflection path of the signal path; identifying a signal reflection strength of the reflection path; Based on the signal reflection intensity, a reflection key node of the signal transmission area is determined.

6. The microwave signal transmission method based on non-line-of-sight microwave equipment according to claim 5, characterized in that: The step of integrating the reconfigurable unit and the channel state optimization algorithm to obtain the intelligent reflection surface of the reflection key node includes: constructing a two-dimensional surface of the reflection key node; Integrating the reconfigurable unit onto the two-dimensional surface to obtain an initial smart reflective surface; Verifying the reliability of the channel state optimization algorithm for dynamically adjusting parameters of the initial intelligent reflective surface; When the parameter dynamic adjustment reliability meets a preset adjustment reliability threshold, the channel state optimization algorithm is integrated into the initial intelligent reflection surface to obtain the intelligent reflection surface of the reflection key node.

7. The microwave signal transmission method based on non-line-of-sight microwave equipment according to claim 6, characterized in that: The configuring the SDN network of the signal transmission area in combination with the device condition corresponding to the MIMO microwave device includes: Analyzing the communication network requirements of the MIMO microwave equipment; Based on the communication network requirements, determining an SDN controller for the MIMO microwave device; Defining SDN protocols and APIs of the SDN controller; Configuring the network devices of the SDN controller through the SDN protocol and API; Using the SDN controller to send a flow table to the network device to obtain a target network device; Based on the SDN controller, the SDN protocol, the API and the target network device, an SDN network in the signal transmission area is constructed.

8. A microwave signal transmission system based on non-line-of-sight microwave equipment, characterized in that: The system is used to perform the microwave signal transmission method based on non-line-of-sight microwave equipment according to any one of claims 1 to 7, comprising: A microwave frequency band determination module, used to obtain a non-line-of-sight transmission environment of a signal transmission area, determine a communication requirement of the signal transmission area according to the non-line-of-sight transmission environment, and determine a microwave frequency band of the signal transmission area in combination with the non-line-of-sight transmission environment and the communication requirement; A MIMO microwave device configuration module, used to construct a MIMO antenna structure in the signal transmission area, calculate the spatial separation of the MIMO antenna structure, and construct a MIMO microwave device in the signal transmission area when the spatial separation meets a preset spatial separation threshold; An intelligent reflection surface construction module is used to mark the reflection key nodes in the signal transmission area, construct a reconfigurable unit of the reflection key nodes according to the microwave frequency band and the non-line-of-sight transmission environment, configure a channel state optimization algorithm of the reconfigurable unit, and integrate the reconfigurable unit and the channel state optimization algorithm to obtain an intelligent reflection surface of the reflection key node; A signal status data collection module, configured to configure the SDN network of the signal transmission area in combination with the device conditions corresponding to the MIMO microwave device, and to collect microwave signal status data of the MIMO microwave device and the intelligent reflective surface based on the SDN network; A signal reflection parameter optimization module is used to analyze the channel state of the microwave signal based on the microwave signal state data, analyze the reflection parameters of the smart reflection surface based on the channel state using the channel state optimization algorithm, and perform efficient transmission of the microwave signal based on the reflection parameters.

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