Weather sensing method, network side equipment, second sensing node and medium

Abstract

The invention discloses a weather sensing method, network side equipment, a second sensing node and a medium, and belongs to the technical field of communication, and the weather sensing method comprises the steps that the network side equipment receives first data from at least two first sensing nodes; the network side equipment sends a first correction number to the second sensing node, the first correction number is determined based on the first data, and the first correction number is used for correcting the measurement quantity of the second sensing node; wherein the first data of the first sensing node is obtained by executing first sensing and second sensing by the first sensing node; the measurement quantity of the second sensing node is obtained by executing first sensing by the second sensing node; the first perception is perception based on communication perception integration; the second perception is sensor-based perception.

Description

Technical Field

[0001] The present application belongs to the field of communication technology, and specifically relates to a weather sensing method, a network side device, a second sensing node and a medium. Background Art

[0002] Network-side devices can use communication networks to perceive weather conditions, such as air humidity, liquid water content in the air, rainfall or haze. This is a low-cost, high-temporal and high-spatial resolution weather perception method. At present, there are many factors that affect weather perception performance in actual scenarios. In related technologies, it is usually chosen to use perception nodes that can use sensors to measure weather perception results to calibrate the weather perception results of the current network-side device at the location to be perceived, thereby improving the accuracy of weather perception.

[0003] However, in the existing schemes for calibrating weather perception results based on other perception nodes that can use sensors to measure weather perception results, when the location to be sensed is far away from the perception node, the calibration performance of the perception node for the weather perception results of the location to be sensed measured by the current network side device will be greatly reduced, resulting in lower accuracy of the weather perception results of the location to be sensed measured by the network side device.

[0004] Therefore, how to improve the accuracy of weather perception results at the location to be perceived is a problem that needs to be solved urgently. Summary of the invention

[0005] The embodiments of the present application provide a weather perception method, a network-side device, a second perception node, and a medium, which can improve the accuracy of the weather perception results of the location to be perceived.

[0006] In a first aspect, a weather perception method is provided, which is executed by a network side device, and the method includes: the network side device receives first data from at least two first perception nodes; the network side device sends a first correction number to a second perception node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement value of the second perception node; wherein the first data of the first perception node is obtained by the first perception node performing first perception and second perception; the measurement value of the second perception node is obtained by the second perception node performing first perception; the first perception is perception based on integrated communication and perception; and the second perception is perception based on sensors.

[0007] In a second aspect, a weather perception method is provided, which is executed by a second perception node, and the method includes: the second perception node receives a first correction number from a network side device; the second perception node corrects the measurement quantity of the second perception node based on the first correction number; the first correction number is determined based on first data of at least two first perception nodes; the first data of the first perception node is obtained by the first perception node performing first perception and second perception; the measurement quantity of the second perception node is obtained by the second perception node performing first perception; the first perception is perception based on integrated communication and perception; the second perception is perception based on sensors.

[0008] In a third aspect, a weather sensing device is provided, which includes: a receiving module and a sending module; the receiving module is used to receive first data from at least two first sensing nodes; the sending module is used to send a first correction number to a second sensing node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement value of the second sensing node; wherein the first data of the first sensing node is obtained by the first sensing node performing first perception and second perception; the measurement value of the second sensing node is obtained by the second sensing node performing first perception; the first perception is perception based on integrated communication and perception; the second perception is perception based on sensors.

[0009] In a fourth aspect, a weather sensing device is provided, which includes: a receiving module and a processing module; the receiving module is used for the second sensing node to receive a first correction number from a network side device; the processing module is used for the second sensing node to correct the measurement quantity of the second sensing node based on the first correction number received by the above-mentioned receiving module; the first correction number is determined based on the first data of at least two first sensing nodes; the first data of the first sensing node is obtained by the first sensing node performing the first perception and the second perception; the measurement quantity of the second sensing node is obtained by the second sensing node performing the first perception; the first perception is a perception based on the integration of communication and perception; the second perception is a perception based on sensors.

[0010] In a fifth aspect, a network side device is provided, which terminal includes a processor and a memory, the memory stores programs or instructions that can be executed on the processor, and when the programs or instructions are executed by the processor, the steps of the method of the first aspect are implemented.

[0011] In a sixth aspect, a network side device is provided, comprising a processor and a communication interface, wherein the communication interface is used to receive first data from at least two first perception nodes; the communication interface is also used to send a first correction number to a second perception node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement quantity of the second perception node; wherein the first data of the first perception node is obtained by the first perception node performing a first perception and a second perception; the measurement quantity of the second perception node is obtained by the second perception node performing the first perception; the first perception is a perception based on the integration of communication and perception; the second perception is a perception based on a sensor.

[0012] In a seventh aspect, a second perception node is provided, which includes a processor and a memory, wherein the memory stores programs or instructions that can be executed on the processor, and when the programs or instructions are executed by the processor, the steps of the method of the first aspect are implemented.

[0013] In an eighth aspect, a second perception node is provided, comprising a processor and a communication interface, wherein the processor is used to correct a measurement value of the second perception node based on a first correction number, and the communication interface is used to receive a first correction number from a network side device; the first correction number is determined based on first data of at least two first perception nodes; the first data of the first perception node is obtained by the first perception node performing a first perception and a second perception; the measurement value of the second perception node is obtained by the second perception node performing the first perception; the first perception is a perception based on integrated communication and perception; the second perception is a perception based on a sensor.

[0014] In a ninth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method of the first aspect are implemented, or the steps of the method of the second aspect are implemented.

[0015] In the tenth aspect, a wireless communication system is provided, including: a network side device and a second sensing node, the network side device can be used to execute the steps of the method of the first aspect, and the second sensing node can be used to execute the steps of the method of the second aspect.

[0016] In the eleventh aspect, a chip is provided, the chip including a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the method of the first aspect, or to implement the method of the second aspect.

[0017] In a twelfth aspect, a computer program / program product is provided. The computer program / program product is stored in a storage medium, and the program / program product is executed by at least one processor to implement the steps of the weather perception method of the first aspect.

[0018] In an embodiment of the present application, a network-side device receives first data from at least two first sensing nodes; the network-side device sends a first correction number to a second sensing node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement of the second sensing node; wherein, the first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; the measurement of the second sensing node is obtained by the second sensing node performing the first sensing; the first sensing is based on the perception of the integration of communication and perception; the second sensing is based on the perception of the sensor. In this way, the network-side device can obtain the first correction number, which is determined based on the first data obtained by at least two sensing nodes performing the first sensing and the second sensing, so that the second sensing node can correct the measurement of the second sensing node based on the first correction number, thereby obtaining an accurate measurement, that is, the result of weather perception, thereby improving the accuracy of the result of weather perception. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A possible structural diagram of a communication system involved in an embodiment of the present invention;

[0020] Figure 2 This is one of the flow charts of a weather perception method provided in an embodiment of the present application;

[0021] Figure 3 This is a second flow chart of a weather sensing method provided in an embodiment of the present application;

[0022] Figure 4 This is a third flow chart of a weather sensing method provided in an embodiment of the present application;

[0023] Figure 5 This is a fourth flow chart of a weather sensing method provided in an embodiment of the present application;

[0024] Figure 6 This is a fifth flow chart of a weather perception method provided in an embodiment of the present application;

[0025] Figure 7 This is a sixth flow chart of a weather perception method provided in an embodiment of the present application;

[0026] Figure 8 This is the seventh flow chart of a weather perception method provided in an embodiment of the present application;

[0027] Fig. 9 is a flow chart of another weather sensing method provided in an embodiment of the present application;

[0028] Fig.10 This is one of the structural schematic diagrams of a weather sensing device provided in an embodiment of the present application;

[0029] Fig.11 This is a second structural schematic diagram of a weather sensing device provided in an embodiment of the present application;

[0030] Fig.12 It is one of the structural schematic diagrams of another weather sensing device provided in an embodiment of the present application;

[0031] Fig.13 This is a second structural schematic diagram of another weather sensing device provided in an embodiment of the present application;

[0032] Fig.14 It is a schematic diagram of the hardware structure of a communication device provided in an embodiment of the present application;

[0033] Fig.15 It is a schematic diagram of the hardware structure of a network side device provided in an embodiment of the present application;

[0034] Fig.16 It is a hardware structure diagram of a core network device provided in an embodiment of the present application.

[0035] Fig.17 It is a schematic diagram of the hardware structure of a terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of this application.

[0037] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of one type, and the number of objects is not limited, for example, the first object can be one or more. In addition, "or" in this application represents at least one of the connected objects. For example, "A or B" covers three schemes, namely, Scheme 1: including A but not including B; Scheme 2: including B but not including A; Scheme 3: including both A and B. The character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0038] The term "indication" in this application can be a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, operations to be performed, or request results in the sent indication; an indirect indication can be understood as the receiver determining the corresponding information according to the indication sent by the sender, or making a judgment and determining the operation to be performed or the request result according to the judgment result.

[0039] The following is an explanation of the technical terms involved in the technical solutions provided in the embodiments of the present application:

[0040] 1) Communication and perception integration, or simply: synaesthesia integration:

[0041] In the future, wireless communication systems beyond 5th Generation Mobile Communication Technology (B5G) and 6th Generation Mobile Communication Technology (6G) are expected to provide various high-precision sensing services, such as indoor positioning for robot navigation, Wi-Fi sensing for smart homes, and radar sensing for autonomous vehicles. Sensing and communication systems are usually designed separately and occupy different frequency bands. Integrated Sensing And Communication (ISAC) enables sensing and communication systems to share the same frequency band and hardware, improve frequency efficiency, and reduce hardware costs. ISAC will become a key technology for future wireless communication systems to support many important application scenarios. Typical applications of ISAC include: navigation and obstacle avoidance for autonomous vehicles, indoor positioning and activity recognition based on Wi-Fi, communication and sensing for drones, XR, radar and communication integration, etc. Each application has different requirements, limitations, and regulatory issues. ISAC has attracted great research interest and attention from academia and industry.

[0042] JSAC achieves low-cost integration of communication and perception functions by sharing hardware equipment and defining functions with software. Its main features are: unified and simplified architecture, reconfigurable and scalable functions, improved efficiency and reduced costs. The advantages of integrated communication and perception are mainly in three aspects: reduced equipment cost, reduced size, improved spectrum utilization, and improved system performance.

[0043] At present, typical communication perception integration scenarios that are expected to be achieved through technical upgrades based on the 5G communication system architecture are shown in Table 1.

[0044]

[0045] Table 1

[0046] 2) According to the differences between the sensing signal sending node and the receiving node, there are 6 basic sensing methods, including:

[0047] (1) Base station self-transmitting and self-receiving sensing: In this sensing mode, base station A sends a sensing signal and performs sensing measurement by receiving the echo of the sensing signal.

[0048] (2) Air interface sensing between base stations: Base station B receives the sensing signal sent by base station A and performs sensing measurements.

[0049] (3) Uplink air interface perception: Base station A receives the perception signal sent by terminal A and performs perception measurement.

[0050] (4) Downlink air interface perception: Terminal B receives the perception signal sent by base station B and performs perception measurement.

[0051] (5) Terminal autonomous sensing: Terminal A sends a sensing signal and performs sensing measurement by receiving the echo of the sensing signal.

[0052] (6) Sidelink perception between terminals: Terminal B receives the perception signal sent by terminal A and performs perception measurement.

[0053] It is worth noting that in an actual system, one or more different sensing methods can be selected according to different sensing use cases and sensing requirements, and there can be one or more sending nodes and receiving nodes for each sensing method.

[0054] 3) Atmospheric medium attenuation model

[0055] Considering the communication between cellular communication base stations, since the base stations are usually high above the ground, the link between base stations is mainly affected by free space propagation loss and atmospheric medium attenuation. Free space propagation loss refers to the ratio of the receiver input power to the transmitter output power when the electromagnetic wave propagates in a vacuum environment, which is determined by factors such as link length, receiver antenna gain, and transmitter antenna gain.

[0056] According to the free space basic transmission loss in ITU P.525-4 Recommendation "Calculation of Free Space Loss", combined with the receive / transmit antenna gain, the free space propagation loss formula is:

[0057] L(dB)=32.4+20logf+20logd-G t -G r

[0058] Where, f is the carrier frequency in MHz; d is the link length in km; Gt and Gr are the transmit antenna gain and receive antenna gain in dB, respectively.

[0059] Atmospheric medium attenuation mainly includes:

[0060] (1) Dry air attenuation: mainly attenuation caused by oxygen;

[0061] (2) Attenuation caused by water in the air: water vapor, fog, or rainfall;

[0062] (3) Attenuation caused by particulate matter in the air: haze, smoke, or floating dust, etc.

[0063] Recommendation ITU-R P676-6 provides a model for the attenuation of radio waves in atmospheric gases, including the attenuation model of dry air and the water vapor attenuation model. Recommendation ITU-R P.840-7 provides a model for the attenuation of radio waves caused by clouds and fog. Recommendation ITU-R P.838-3 provides the relationship between the attenuation of radio waves due to rainfall and the rainfall rate. In related literature, the attenuation of radio signals caused by haze has also been studied.

[0064] According to the above-mentioned attenuation models of various atmospheric media, the corresponding weather indicators can be inverted by measuring the signal attenuation, such as rainfall intensity, fog intensity, or haze intensity, etc. However, since various weather conditions will interfere with each other, if a certain weather indicator is to be accurately measured, calibration is required.

[0065] 4), number of corrections

[0066] Correcting the difference between the measured value and the true value of an indicator at a digital sensing node reflects the common error of measuring an indicator using integrated communication and sensing.

[0067] The measurement of a certain weather index by synaesthesia integration is mainly based on the measurement of signal propagation attenuation. The value of a certain weather index is inverted through the relationship between signal attenuation and the value of a certain weather index. Therefore, the difference between the measured value and the true value of a certain weather index mainly comes from the difference between the measured signal attenuation and the attenuation caused by a certain weather index.

[0068] For example, when measuring the rainfall rate (i.e., a certain weather indicator is the rainfall rate), in the case of rainfall, a portion of the signal attenuation will be generated in the perception. The value of the rainfall rate measured by the rain gauge is taken as the true value, and the signal attenuation caused by rainfall can be inverted through the relationship between the rainfall rate and the signal attenuation. According to Recommendation ITU-R P.838-3, the relationship between the signal attenuation A caused by rainfall and the rainfall rate R is A = kRα , where the values ​​of coefficients k and α can be obtained from Recommendation ITU-R P.838-3. On the other hand, dry air (including oxygen, nitrogen, etc.) and water vapor in the air will also cause some attenuation to the signal. Obviously, the signal attenuation obtained through synaesthesia integration is all the attenuation experienced by the signal propagation, that is, it includes at least the two partial signal attenuations mentioned above. Therefore, there is a difference between the signal attenuation obtained through synaesthesia integration and the signal attenuation caused by rainfall, which is the common error mentioned above.

[0069] In a certain area, the above common errors have strong consistency. Therefore, the common errors extracted by the first weather sensing node can be provided to the second weather sensing node that can only perform synaesthesia integration and is within a certain distance from the first weather sensing node, so as to correct the measurement results of the synaesthesia integration of the second weather sensing node, so as to improve the synaesthesia integration performance of the second weather sensing node.

[0070] The first weather sensing node provides the information related to the common error to the second weather sensing node, which is used for the second weather sensing node to correct the perception result of a certain weather indicator through synaesthesia integration. The information related to the common error provided by the first weather sensing node to the second weather sensing node is referred to as the correction number.

[0071] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the systems and radio technologies mentioned above as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and the NR terminology is used in most of the following descriptions, but these technologies can also be applied to systems other than NR systems, such as the 6th generation (6 th Generation, 6G) communication system.

[0072] Figure 1A block diagram of a wireless communication system applicable to an embodiment of the present application is shown. The wireless communication system includes a terminal 11 and a network side device 12. Among them, the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a handheld computer, a netbook, an ultra-mobile personal computer (Ultra-mobile Personal Computer, UMPC), a mobile Internet device (Mobile Internet Device, MID), an augmented reality (Augmented Reality, AR), a virtual reality (Virtual Reality, VR) device, a robot, a wearable device (Wearable Device), an aircraft (flight vehicle), a vehicle-mounted device (Vehicle User Equipment, VUE), a ship-mounted device, a pedestrian terminal (Pedestrian User Equipment, PUE), a smart home (home appliances with wireless communication functions, such as refrigerators, televisions, washing machines or furniture, etc.), a game console, a personal computer (Personal Computer, PC), a teller machine or a self-service machine and other terminal side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, a vehicle-mounted controller, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip or a vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network side device 12 may include an access network device or a core network device, wherein the access network device may also be referred to as a radio access network (Radio Access Network, RAN) device, a radio access network function or a radio access network unit. The access network device may include a base station, a wireless local area network (Wireless Local Area Network, WLAN) access point (Access Point, AS) or a wireless fidelity (Wireless Fidelity, WiFi) node, etc.Among them, the base station may be referred to as a Node B (NB), an evolved Node B (eNB), a next generation Node B (gNB), a New Radio Node B (NR Node B), an access point, a Relay Base Station (RBS), a Serving Base Station (SBS), a Base Transceiver Station (BTS), a radio base station, a radio transceiver, a Basic Service Set (BSS), an Extended Service Set (ESS), a Home Node B (HNB), a Home Evolved Node B, a Transmission Reception Point (TRP) or other appropriate terms in the field. As long as the same technical effect is achieved, the base station is not limited to specific technical terms. It should be noted that in the embodiments of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.

[0073] The core network device may include, but is not limited to, at least one of the following: a core network node, a core network function, a mobility management entity (Mobility Management Entity, MME), an access mobility management function (Access and Mobility Management Function, AMF), a session management function (Session Management Function, SMF), a user plane function (User Plane Function, UPF), a policy control function (Policy Control Function, PCF), a policy and charging rules function unit (Policy and Charging Rules Function, PCRF), an edge application service discovery function (Edge Application Server Discovery Function, EASDF), a unified data management (Unified Data Management, UDM), a unified data storage (Unified Data Repository, UDR), a home user server (Home Subscriber Server, HSS), a centralized network configuration (CNC), a network storage function (Network Repository Function, NRF), a network exposure function (Network Exposure Function, NEF), a local NEF (Local NEF, or L-NEF), and a binding support function (Binding Support Function, BSF), application function (Application Function, AF), etc. It should be noted that in the embodiment of the present application, only the core network device in the NR system is introduced as an example, and the specific type of the core network device is not limited.

[0074] The weather sensing method, network-side equipment, second sensing node and medium provided in the embodiments of the present application are described in detail below in combination with the accompanying drawings through some embodiments and their application scenarios.

[0075] It should be noted that the network side device provided in the embodiment of the present application can be a base station or a core network device.

[0076] Figure 2 A schematic diagram of a weather sensing method provided in an embodiment of the present application is shown. Figure 2 As shown, the network access method may include the following step 201:

[0077] Step 201: A network-side device receives first data from at least two first sensing nodes.

[0078] In an embodiment of the present application, the above-mentioned network side device can be a base station or a perception function network element in a core network device.

[0079] Exemplarily, a sensing function network element, which may also be called a sensing network element or a sensing network function, may be located on the radio access network (RAN) side or the core network side, and refers to a network node in the core network and / or RAN that is responsible for at least one function such as sensing request processing, sensing resource scheduling, sensing information interaction, and sensing data processing. It may be an upgrade based on the access and mobility management function (AMF) or location management function (LMF) in the 5G network, or it may be other network nodes or newly defined network nodes.

[0080] Specifically, the functional characteristics of the above-mentioned perception function network element may include at least one of the following:

[0081] (1) Interacting target information with a wireless signal sending device and / or a wireless signal measuring device (including a target terminal or a serving base station of the target terminal or a base station associated with a target area), wherein the target information includes a sensing processing request, sensing capability, sensing auxiliary data, a sensing measurement quantity type, sensing resource configuration information, etc., so as to obtain a value of a target sensing result or a sensing measurement quantity (uplink measurement quantity or downlink measurement quantity) sent by the wireless signal measuring device; wherein the wireless signal may also be referred to as a sensing signal.

[0082] (2) The sensing method to be used is determined based on factors such as the type of sensing service, sensing service consumer information, required sensing service quality (QoS) requirement information, the sensing capability of the wireless signal sending device, and the sensing capability of the wireless signal measuring device. The sensing method may include: base station A sends and base station B receives, or the base station sends and the terminal receives, or base station A sends and receives by itself, or the terminal sends and the base station receives, or the terminal sends and receives by itself, or terminal A sends and terminal B receives, etc.

[0083] (3) Determine the perception device serving the perception service based on factors such as the type of perception service, information about the perception service consumer, required perception QoS requirement information, the perception capability of the wireless signal sending device, and the perception capability of the wireless signal measuring device, wherein the perception device includes a wireless signal sending device and / or a wireless signal measuring device.

[0084] (4) Manage the overall coordination and scheduling of resources required for sensing services, such as configuring sensing resources of base stations and / or terminals accordingly;

[0085] (5) Process the values ​​of the perceived measurement quantities, or perform calculations to obtain the perceived results. Further, verify the perceived results, estimate the perceived accuracy, etc.

[0086] In an embodiment of the present application, the above-mentioned first sensing node may be a base station or a terminal, or may be a node that can use a sensor to sense the weather.

[0087] In an embodiment of the present application, the first data of the above-mentioned first perception node is obtained by the first perception node performing the first perception and the second perception.

[0088] In the embodiment of the present application, the above-mentioned first perception is a perception based on the integration of communication perception.

[0089] In one possible example, the first sensing node can perform the first sensing in a single-base sensing mode to obtain weather sensing data.

[0090] Exemplarily, the first sensing node sends and receives an echo signal reflected by an atmospheric medium for processing, thereby achieving measurement at the sensing node to obtain weather sensing data.

[0091] In another possible example, the first sensing node can perform the first sensing in a dual-base sensing mode to obtain weather sensing data.

[0092] Exemplarily, the first sensing node includes at least two devices, at least one of which sends a sensing signal, and at least one of which receives the sensing signal and processes the received signal to implement measurement at the first sensing node to obtain weather sensing data.

[0093] In some embodiments, the first sensing node should include an inter-base station communication link (LOS path link) composed of at least two communication base stations, and the link between base stations includes: a backhaul link, or a point-to-point link between base stations newly established for the sensing function.

[0094] In the embodiment of the present application, the second perception is sensor-based perception.

[0095] Exemplarily, the above-mentioned sensor may include but is not limited to at least one of the following:

[0096] Thermometer: can measure the temperature at the sensing node;

[0097] Hygrometer: can measure the humidity at the sensing node;

[0098] Rain gauge: can measure the rainfall rate at the sensing node;

[0099] Microwave radiometer: can measure the temperature, humidity, and liquid water content in the air at the sensing node;

[0100] Haze detector: can measure the haze content in the air at the sensing node, such as the content of particulate matter such as PM2.5.

[0101] In a possible example, the sensing node is equipped with a sensor capable of performing the second perception and measuring the weather conditions, and the sensing node may use the measurement result of the sensor as the true value of the weather perception at the sensing node.

[0102] In another possible example, there is a weather radar station near the perception node, or a weather station equipped with sensors that can perform second perception and measure weather conditions, etc. The perception node can use the measurement results of the weather station or weather radar station as the true value of the weather perception at the perception node.

[0103] It should be noted that the above description is only for the first perception and the second perception, that is, the above perception node can be the first perception node or the second perception node.

[0104] Optionally, in the embodiment of the present application, combined with Figure 2 ,like Figure 3 As shown, the above step 201 specifically includes step 201a and step 201b:

[0105] Step 201a: at least two first sensing nodes send first data to a network side device.

[0106] Optionally, in an embodiment of the present application, the above-mentioned first data also includes at least one of the following: an identifier of the first sensing node; a beam pointing or beam identifier (Identity, ID) when the first sensing node performs the first perception.

[0107] Step 201b: The network side device receives first data sent from at least two first sensing nodes.

[0108] Step 202: The network-side device sends a first correction number to the second sensing node.

[0109] In an embodiment of the present application, the second sensing node may be a base station or a terminal.

[0110] In the embodiment of the present application, the first correction number is determined based on the first data.

[0111] In the embodiment of the present application, the first correction number is used to correct the measurement value of the second sensing node.

[0112] In the embodiment of the present application, the value of the above-mentioned first correction number can be a decimal value or a logarithmic value; if it is a logarithmic value, it can be a logarithmic value with base 10 or a logarithmic value with base e of the natural logarithm as the base.

[0113] In the embodiment of the present application, the measurement amount of the second sensing node is obtained by the second sensing node performing the first sensing;

[0114] Optionally, in the implementation of the present application, the first data of the above-mentioned first sensing node includes at least one of the following: a first measurement value; a second measurement value; a second correction number.

[0115] In an embodiment of the present application, the above-mentioned first measurement quantity is a measurement quantity obtained by the first perception node measuring the first indicator at the first perception node through the first perception.

[0116] In an embodiment of the present application, the second measurement quantity is a value obtained by the first sensing node measuring the first indicator at the first sensing node through the second perception.

[0117] In the embodiment of the present application, the second correction number is determined by the first measurement value and the second measurement value.

[0118] Optionally, in the implementation of the present application, the above-mentioned first indicator includes at least one of the following: air humidity; rainfall rate; fog intensity; concentration of suspended particulate matter in the air.

[0119] Optionally, in the implementation of this application, the first measurement quantity includes at least one of the following:

[0120] In-phase (I) branch data;

[0121] Quadrature (Q) branch data

[0122] Channel matrix;

[0123] The power spectrum of any one of the four dimensions of delay, Doppler, azimuth, and elevation, or the power spectrum of the combined dimension of at least two dimensions;

[0124] Received signal power; the received signal power may be a reference signal received power (Reference Signal Received Power, RSRP) or a reference signal strength indication (Received Signal Strength Indication, RSSI);

[0125] Line of Sight (LOS) path signal power;

[0126] A first value, where the first value is a value corresponding to the first indicator obtained by the first sensing node by performing the first sensing measurement;

[0127] The first measurement is averaged or smoothed.

[0128] Optionally, in the implementation of this application, the second correction number includes at least one of the following:

[0129] a difference between the first value and the second measurement;

[0130] a ratio between the first value and the second measurement;

[0131] a difference between the first signal attenuation value and the second signal attenuation value;

[0132] a ratio between the first signal attenuation value and the second signal attenuation value;

[0133] Exemplarily, the first signal attenuation value is: a signal attenuation value obtained according to the first measurement value.

[0134] In one example, the signal attenuation value may be calculated by receiving signal power.

[0135] In another example, the above-mentioned signal attenuation value can be calculated by the signal power of the direct path (LOS path), where the signal power of the LOS path is extracted by transforming the received signal into the delay domain, the delay-azimuth angle domain, the delay-Doppler domain, or the delay-Doppler-azimuth angle domain, by performing the first perception of the positional relationship between the transmitting device and the receiving device.

[0136] Exemplarily, the second signal attenuation value is: a signal attenuation value obtained by inverting the second measurement quantity.

[0137] Exemplarily, any one of the second correction numbers may be a result obtained from a single measurement, or may be an average of multiple measurements, or a result after smoothing and filtering.

[0138] In one possible example, the second sensing node can perform the first sensing in a single-base sensing mode to obtain weather sensing data.

[0139] Exemplarily, the second sensing node sends and receives an echo signal reflected by the atmospheric medium for processing, thereby achieving measurement at the sensing node to obtain weather sensing data.

[0140] In another possible example, the second sensing node can perform the first sensing in a dual-base sensing mode to obtain weather sensing data.

[0141] Exemplarily, the second sensing node includes at least two devices, at least one of which sends a sensing signal, and at least one of which receives the sensing signal and processes the received signal to achieve measurement at the first sensing node to obtain weather sensing data.

[0142] In some embodiments, the second sensing node should include an inter-base station communication link (LOS path link) composed of at least two communication base stations, and the link between base stations includes: a backhaul link, or a point-to-point link between base stations newly established for the sensing function.

[0143] Optionally, in the embodiment of the present application, combined with Figure 3 ,like Figure 4 As shown, the above step 202 specifically includes step 202a and step 202b:

[0144] Step 202a: The network-side device sends a first correction number to the second sensing node.

[0145] Step 202b: The second sensing node receives a first correction number from the network side device.

[0146] Optionally, in the embodiment of the present application, combined with Figure 4 ,like Figure 5 As shown, the above step 202b specifically includes step 202b1:

[0147] Step 202b1: The second sensing node corrects the measurement value of the second sensing node based on the first correction number.

[0148] Exemplarily, the network side device receives first data from multiple first sensing nodes to obtain multiple groups of correction numbers. The second sensing node can obtain the first correction number based on the multiple groups of correction numbers from the network side device to correct the measurement quantity of the second sensing node. The second sensing node can also receive multiple groups of correction data sent by the network side device, and obtain the first correction number based on the multiple groups of correction numbers to correct the measurement quantity of the second sensing node.

[0149] In the weather perception method provided in the embodiment of the present application, the network side device receives the first data from at least two first perception nodes; the network side device sends a first correction number to the second perception node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement of the second perception node; wherein, the first data of the first perception node is obtained by the first perception node performing the first perception and the second perception; the measurement of the second perception node is obtained by the second perception node performing the first perception; the first perception is based on the perception of the integration of communication perception; the second perception is based on the perception of the sensor. In this way, the network side device can obtain the first correction number, which is determined based on the first data obtained by at least two perception nodes performing the first perception and the second perception, so that the second perception node can correct the measurement of the second perception node based on the first correction number, thereby obtaining an accurate measurement, that is, the result of weather perception, thereby improving the accuracy of the result of weather perception.

[0150] Optionally, in the embodiment of the present application, combined with Figure 2 ,like Figure 6 As shown, before the above step 201, the weather perception method provided in the embodiment of the present application further includes step 301:

[0151] Step 301: A network-side device sends at least part of the first configuration information to at least two first sensing nodes.

[0152] In an embodiment of the present application, the network side device may send at least part of the first configuration information to at least two first sensing nodes, or may send all of the first configuration information.

[0153] In an embodiment of the present application, the first configuration information may be sent to the at least two first sensing nodes via signaling, such as RRC signaling or DCI signaling.

[0154] In an embodiment of the present application, the above-mentioned first configuration information includes at least one of the following: a first signal configuration; a first measurement configuration; a second measurement configuration; and a first report configuration.

[0155] In an embodiment of the present application, the above-mentioned first signal configuration is a related configuration of a perception signal for the first perception node to perform the first perception.

[0156] Exemplarily, the above-mentioned configuration related to the perception signal includes at least one of the following:

[0157] (1) Waveform type: for example, Orthogonal frequency division multiplexing (OFDM), Single-carrier Frequency-Division Multiple Access (SC-FDMA), Orthogonal Time Frequency Space (OTFS), Frequency Modulated Continuous Wave (FMCW), pulse signal, etc.

[0158] (2) Subcarrier spacing: For example, the subcarrier spacing of the OFDM system is 30KHz;

[0159] (3) Guard interval: The time interval from the moment a signal ends to the moment the latest echo signal of the signal is received. This parameter is proportional to the maximum sensing distance. For example, it can be expressed as 2d max / c calculated, d max is the maximum sensing distance (belongs to the sensing requirement), for example, for the self-transmitted and self-received sensing signal, d max Represents the maximum distance from the perceived signal receiving point to the signal transmitting point; in some cases, the OFDM signal cyclic prefix CP can play the role of the minimum guard interval;

[0160] (4) Bandwidth: This parameter is inversely proportional to the distance resolution and can be obtained by c / (2Δd), where Δd is the distance resolution (perception requirement) and c is the speed of light.

[0161] (5) Burst duration: This parameter is inversely proportional to the rate resolution (a perception requirement). This parameter is the time span of the perceived signal, mainly for calculating the Doppler frequency deviation. This parameter can be calculated by c / (2f c Δv) is calculated; where Δv is the velocity resolution; f c is the carrier frequency of the sensing signal;

[0162] (6) Time domain interval: This parameter can be expressed by c / (2f c v range ) is calculated; where v range It is the maximum rate minus the minimum speed (belonging to the perception requirement); this parameter is the time interval between two adjacent perception signals;

[0163] (7) Transmit signal power: For example, from -20dBm to 23dBm, the value is taken at 2dBm intervals;

[0164] (8) Signal format: for example, Sounding Reference Signal (SRS), Demodulation Reference Signal (DMRS), Positioning Reference Signal (PRS), or other predefined signals, as well as related sequence format information;

[0165] (9) Signal direction: for example, the direction or beam information of the perceived signal;

[0166] (10) Time resources: for example, the time slot index or the symbol index of the time slot where the perception signal is located. There are two types of time resources: one is a one-time time resource, for example, one symbol sends an omnidirectional perception signal; the other is a non-one-time time resource, for example, multiple groups of periodic time resources or discontinuous time resources (which may include a start time and an end time). Each group of periodic time resources sends a perception signal in the same direction, and different groups of periodic time resources have different beam directions.

[0167] (11) Frequency resources: including the center frequency of the perceived signal, bandwidth, resource block (RB) or subcarrier, Point A, starting bandwidth position, etc.

[0168] (12) Quasi co-location (QCL) relationship: For example, the sensing signal includes multiple resources, each resource is associated with a synchronization signal block (SSB) QCL, and the QCL includes Type A, B, C or D.

[0169] Exemplarily, the antenna configuration information of the sensing node may include at least one of the following:

[0170] Antenna element ID or antenna port ID used to send and / or receive the perception signal;

[0171] Panel ID + array element ID used to send and / or receive sensing signals;

[0172] Position information of an antenna array element used to send and / or receive a sensing signal relative to a local reference point on the antenna array;

[0173] Position information of the panel used to send and / or receive the perception signal relative to a local reference point on the antenna array, and position information of the antenna array elements used to send the perception signal within the selected pane relative to a unified reference point of the panel, such as the center point of the panel;

[0174] For example, the above position information can be expressed in Cartesian coordinates (x, y, z) or spherical coordinates. express.

[0175] Exemplarily, in the bitmap information of the above antenna array element, the bitmap uses "1" to indicate that the array element is selected for sending and / or receiving the perception signal, and uses "0" to indicate that the array element is not selected.

[0176] Exemplarily, in the bitmap information of the array panel, the bitmap uses "1" to indicate that the panel is selected for sending and / or receiving the perception signal, and uses "0" to indicate that the array element is not selected.

[0177] Exemplarily, the threshold information is: a threshold value used to determine whether the obtained perception measurement value of at least one of the source node, the third perception node, and the candidate node satisfies the first condition. For different candidate nodes and / or candidate tags, the threshold value may be different; for any candidate node and / or candidate tag, the perception measurement value and its corresponding threshold value may be greater than 1; the first condition is: the corresponding candidate node / candidate tag for obtaining the perception measurement value can be used as the target node / target tag.

[0178] In the embodiment of the present application, the first measurement configuration is used to configure the measurement quantity type of the first measurement quantity.

[0179] Exemplarily, the first measurement configuration is used to instruct the first sensing node to obtain a measurement quantity type of the first measurement quantity, that is, the first measurement configuration is used to inform the first sensing node of what measurement quantity type of the first measurement quantity to obtain.

[0180] In an embodiment of the present application, the above-mentioned second measurement configuration is a related configuration for the first perception node to perform the second perception.

[0181] Exemplarily, the second measurement configuration includes at least one of the following:

[0182] Indicates one or more weather indicator types included in the acquired first indicator;

[0183] Indicates when the sensing was performed.

[0184] Exemplarily, the time for executing the perception may include at least one of the following: the time for the first execution of the perception, the time period for executing the perception, the number of executions of the perception, and the time span for executing the perception in the time period for executing the perception.

[0185] In an embodiment of the present application, the above-mentioned first report configuration is used to configure the reporting behavior of the first perception node after performing the first perception and the second perception.

[0186] Exemplarily, the first report configuration includes at least one of the following:

[0187] Indicates the measurement quantity that needs to be reported;

[0188] Indicates the reporting time configuration.

[0189] Exemplarily, the measurement amount indicated to be reported includes at least one of the following:

[0190] a measurement quantity corresponding to a measurement quantity type of a first measurement quantity configured in the first measurement configuration;

[0191] a first indicator configured in a third measurement configuration;

[0192] The correction number associated with the first indicator.

[0193] Exemplarily, the time configuration for indicating reporting includes at least one of the following:

[0194] Periodic reporting: reporting corresponding data according to the specified time offset and / or period; in this case, the first report configuration should include: time offset and / or period;

[0195] Semi-persistent reporting: after receiving the activation command, the corresponding data is reported according to the specified time offset and / or period until the deactivation command is received, or the reporting behavior reaches a preset number of times, or the reporting behavior reaches a preset time span; at this time, the first report configuration should include at least one of the following: time offset, period, preset number of times, preset time span;

[0196] Aperiodic reporting: After receiving the activation command, the corresponding data is reported once.

[0197] It should be noted that the method for obtaining the above-mentioned first configuration information can be: the above-mentioned first perception node obtains at least part of the information, or all of the information, of the first configuration information sent by the network side device, or the above-mentioned first perception node obtains at least part of the information, or all of the information, of the first configuration information according to the protocol agreement.

[0198] Optionally, in the embodiment of the present application, the weather perception method provided in the embodiment of the present application further includes step 401:

[0199] Step 401: The network side device sends at least part of the second configuration information to the second sensing node.

[0200] In an embodiment of the present application, the network side device may send at least part of the first configuration information to at least two first sensing nodes, or may send all of the first configuration information.

[0201] In an embodiment of the present application, the second configuration information may be sent to the second perception node via signaling, such as RRC signaling or DCI signaling.

[0202] In an embodiment of the present application, the above-mentioned second configuration information includes at least one of the following: a second signal configuration; a third measurement configuration; a second report configuration.

[0203] In the embodiment of the present application, the second signal configuration is a configuration related to the perception signal of the second perception node performing the first perception. Specific reference is made to the description of the configuration related to the perception signal in the above-mentioned first signal configuration, which will not be repeated here.

[0204] In an embodiment of the present application, the third measurement configuration is used to configure the measurement quantity type of the third measurement quantity that the second sensing node needs to obtain when performing the first sensing.

[0205] Exemplarily, the third measurement configuration is used to instruct the first sensing node to obtain a measurement quantity type of the third measurement quantity, that is, the first measurement configuration is used to inform the second sensing node of what measurement quantity type of the third measurement quantity to obtain.

[0206] Exemplarily, the third measurement quantity includes at least one of the following:

[0207] I / Q channel data;

[0208] Channel matrix;

[0209] The power spectrum of any one of the four dimensions of delay, Doppler, azimuth, and elevation, or the power spectrum of the combined dimension of at least two dimensions;

[0210] Received signal power; the received signal power may be RSRP or RSSI;

[0211] LOS path signal power;

[0212] A second value, where the second value is a value corresponding to the first indicator obtained by the second sensing node by performing the first sensing measurement;

[0213] The third measurement is averaged or smoothed.

[0214] In the embodiment of the present application, the second report configuration is used to configure the reporting behavior of the second sensing node after performing the first sensing. For details, please refer to the description of the first report configuration, which will not be repeated here.

[0215] Optionally, in the embodiment of the present application, combined with Figure 2 ,like Figure 7As shown, before the above step 201, the weather perception method provided in the embodiment of the present application further includes steps 501 and 502:

[0216] Step 501: The network side device obtains the sensing node information of at least two third sensing nodes.

[0217] In an embodiment of the present application, the above-mentioned network side device obtains the perception node information of the third perception node by receiving at least part of the perception node information of the third perception node sent by the third perception node, or the above-mentioned network side device obtains it from a network node that stores at least part of the perception node information of the third perception node.

[0218] In the embodiment of the present application, the sensing node information of each third sensing node includes at least one of the following:

[0219] The ID of the third sensor node,

[0220] The perception capability information of the third perception node,

[0221] The location information of the third sensing node,

[0222] The posture information of the third perception node.

[0223] In an embodiment of the present application, the above-mentioned perception capability information includes at least one of the following: the ability to perform the first perception, the ability to perform the second perception.

[0224] In an embodiment of the present application, the location information of the third sensing node may include at least one of the following: the coordinates of the third sensing node in the global coordinate system, and the coordinates of the third sensing node relative to a reference position.

[0225] Exemplarily, the above coordinates may be rectangular coordinates or polar coordinates.

[0226] Exemplarily, the location information may be obtained in at least one of the following ways:

[0227] Obtaining location information through Global Navigation Satellite System (GNSS) positioning, such as GPS positioning and Beidou positioning;

[0228] Obtain location information through 5G positioning, future 5.5G or future 6G positioning;

[0229] The location information is obtained through the inertial measurement unit (IMU) equipped by the third sensing node itself.

[0230] In an embodiment of the present application, the posture information of the above-mentioned third sensing node includes at least one of the following: the orientation of the antenna panel of the third sensing node, the rotation angle of the orientation of the local coordinate system of the third sensing node relative to the global coordinate system, and the rotation angle of the third sensing node relative to a reference coordinate system.

[0231] Exemplarily, the above-mentioned posture information may be obtained in at least one of the following ways:

[0232] The posture information is obtained by measuring the sensors equipped by the third sensing node itself, such as a gyroscope;

[0233] The attitude information is determined by measuring the arrival angle of the downlink signal sent by one or more base stations.

[0234] Step 502: The network side device determines a target sensing node set based on the sensing node information and the sensing requirement information.

[0235] In an embodiment of the present application, the above-mentioned target perception node set includes at least two first perception nodes.

[0236] In an embodiment of the present application, the sensing nodes in the above-mentioned target sensing node set are located in the sensing area.

[0237] In an embodiment of the present application, the above-mentioned perception requirement information includes at least one of the following: an indicator that needs to be perceived, a perception area, and perception prior information.

[0238] Exemplarily, the above-mentioned indicators that need to be sensed are used to indicate that the sensing node needs to obtain data weather indicators.

[0239] Exemplarily, the above-mentioned sensing area is an area where data needs to be acquired.

[0240] Exemplarily, the above-mentioned perception prior information is: information on other weather indicators of the perception area, including but not limited to: temperature and air humidity of the perception area; possible weather conditions of the perception area, such as rain, fog, or haze.

[0241] In an embodiment of the present application, the network side device first obtains all sensing nodes within a preset distance range of the network side device, that is, part of the sensing node information or all of the sensing node information of the third sensing node mentioned above. Then, based on the sensing node information of the third sensing node and the sensing requirement information, the network side device selects the sensing nodes that meet the sensing requirement information from all the sensing nodes to determine the target sensing node set, so that the network side device can select the above-mentioned at least two first sensing nodes from the target sensing node set.

[0242] Optionally, in the embodiment of the present application, combined with Figure 2 ,like Figure 8As shown, before the above step 202, the embodiment of the present application also includes step 601:

[0243] Step 601: The network side device processes the second correction number in a first manner to obtain a first correction number.

[0244] In an embodiment of the present application, the first perception and the second perception are performed by the first perception node. After obtaining the correction number, the first correction number at the second perception node is determined by interpolation, fitting or weighting methods based on the second correction numbers corresponding to at least two first perception nodes and given the position information of the second perception node.

[0245] In an embodiment of the present application, the above-mentioned first method includes any one of the following: an interpolation method; a fitting method; a weighted method.

[0246] Exemplarily, the interpolation method is to obtain the correction number associated with the first indicator corresponding to the second perception node by interpolation based on the correction numbers associated with the first indicator corresponding to the plurality of first perception nodes, for example, nearest neighbor interpolation, linear interpolation, or cubic spline interpolation.

[0247] Exemplarily, the fitting method is to obtain the correction number associated with the first indicator corresponding to the second perception node by fitting the correction numbers associated with the first indicator corresponding to the plurality of first perception nodes. For example, polynomial fitting is performed based on the order of polynomial fitting, specified function fitting is performed based on the function form of specified function fitting, or interpolation fitting is performed.

[0248] Exemplarily, the weighting method is to obtain the correction number associated with the first indicator corresponding to the second perception node by weighting the correction numbers associated with the first indicator corresponding to the plurality of first perception nodes. Specifically, for any second perception node, the correction number associated with the first indicator corresponding to a plurality of first perception nodes whose distances to the second perception node are within a preset threshold range is weighted to obtain the correction number associated with the first indicator corresponding to the second perception node.

[0249] In one example, the second correction number is the second correction number in the first data.

[0250] In another example, the second correction number is determined by the network side device according to the first measurement value and the second measurement value.

[0251] In this way, the correction number at the second perception node is obtained after interpolation, fitting, etc. of the correction numbers obtained by at least two first perception nodes. The correction number is used to correct the perception result of the first indicator obtained by the second perception node through the first perception, which can reduce the error of the second perception node in perceiving the first indicator through the first perception and improve the perception accuracy.

[0252] See also Fig. 9 , Fig. 9 is a flow chart of another weather perception method provided in an embodiment of the present application. Fig. 9 As shown, the following steps are included:

[0253] Step 701: The second sensing node receives a first correction number from a network side device;

[0254] Step 702: The second sensing node corrects the measurement of the second sensing node based on the first correction number.

[0255] The first correction number is determined based on first data of at least two first sensing nodes;

[0256] The first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing;

[0257] The measurement quantity of the second sensing node is obtained by the second sensing node performing the first sensing;

[0258] The first perception is based on the integration of communication and perception;

[0259] The second perception is sensor-based perception.

[0260] In this way, the network side device can obtain a first correction number, which is determined based on the first data obtained by at least two perception nodes performing the first perception and the second perception, so that the second perception node can correct the measurement quantity of the second perception node based on the first correction number, thereby obtaining an accurate measurement quantity, that is, the result of weather perception, thereby improving the accuracy of the weather perception result.

[0261] Optionally, in the embodiment of the present application, the weather perception method provided in the embodiment of the present application further includes step 703:

[0262] Step 703: The second perception node obtains the second configuration information.

[0263] In an embodiment of the present application, the second perception node may obtain at least part of the information in the second configuration information, or may obtain all of the information in the second configuration information.

[0264] In an embodiment of the present application, the second configuration information may be sent to the second perception node via signaling, such as RRC signaling or DCI signaling.

[0265] In the embodiment of the present application, the second configuration information includes at least one of the following: a second signal configuration; a third measurement configuration; and a second report configuration. For details, reference may be made to the relevant description of the second configuration information in step 401, which will not be repeated here.

[0266] It should be noted that the method for obtaining the above-mentioned second configuration information can be: the above-mentioned second perception node obtains at least part of the information, or all of the information, of the second configuration information sent by the network side device, or the above-mentioned second perception node obtains at least part of the information, or all of the information in the second configuration information according to the protocol agreement.

[0267] It should be noted that there is no restriction on the execution order of the above step 703, which can be performed before or after any step. That is to say, the second perception node can receive the second configuration information sent from the network side device at any time.

[0268] The following uses rainfall detection, that is, the first indicator is the rainfall rate as an example to illustrate the weather perception method provided in the embodiment of the present application.

[0269] First, the first sensing node performs the first sensing to obtain the signal attenuation A1, and performs the second sensing to obtain the rainfall rate R1. According to the relationship between the rainfall rate and the signal attenuation, the attenuation caused by rainfall can be inverted to be A2=kR1 α , where the values ​​of coefficients k and α can be obtained from Recommendation ITU-RP.838-3. At this time, the correction number obtained at the first sensing node can be Δ=A1-A2.

[0270] Next, within a certain area, the correction numbers obtained by the N first sensing nodes are recorded as: Δ1, Δ2, ..., ΔN, where N is an integer greater than 1. Then, according to the positional relationship between the N first sensing nodes and the second sensing node, the target correction number at the second sensing node is obtained as ΔT by interpolation, fitting or weighting. Moreover, it is known that the signal attenuation obtained by the second sensing node performing the first perception is A3. Then, the signal attenuation caused by rainfall is A4=A3-ΔT. According to the relationship between the rainfall rate and the signal attenuation, it can be calculated that the rainfall rate at the second sensing node is R2=(A4 / k) 1 / α If the correction factor is not used for correction, the rainfall rate calculated based on the signal attenuation A3 obtained by the second sensing node performing the first sensing is R3 = (A3 / k) 1 / α Then, R3 will have a larger error than R2.

[0271] Thus, in this scheme, at least two first perception nodes measure the first indicator through the first perception and the second perception, and obtain the correction number associated with the first indicator at each first perception node. The target correction number at the second perception node is obtained after interpolation, fitting and other processing on the correction numbers obtained by at least two first perception nodes. The target correction number is used to correct the perception result of the first indicator obtained by the second perception node through the first perception, which can reduce the error of the second perception node in perceiving the first indicator through the first perception and improve the perception accuracy.

[0272] The weather sensing method provided in the embodiment of the present application can be executed by a weather sensing device. In the embodiment of the present application, the weather sensing device provided in the embodiment of the present application is described by taking the weather sensing method executed by the weather sensing device as an example.

[0273] The present application embodiment provides a weather sensing device, such as Fig.10 As shown, the weather sensing device 70 includes: a receiving module 71 and a sending module 72.

[0274] Among them, the above-mentioned receiving module 71 is used to receive first data from at least two first perception nodes; the above-mentioned sending module 72 is used to send a first correction number to the second perception node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement value of the second perception node; wherein, the first data of the first perception node is obtained by the first perception node performing the first perception and the second perception; the measurement value of the second perception node is obtained by the second perception node performing the first perception; the first perception is a perception based on the integration of communication and perception; the second perception is a perception based on sensors.

[0275] Optionally, in an embodiment of the present application, the first data of the above-mentioned first perception node includes at least one of the following: a first measurement quantity; a second measurement quantity; a second correction number; the first measurement quantity is a measurement quantity obtained by the first perception node measuring a first indicator at the first perception node through a first perception; the second measurement quantity is a value obtained by the first perception node measuring the first indicator at the first perception node through a second perception; the second correction number is determined by the first measurement quantity and the second measurement quantity.

[0276] Optionally, in an embodiment of the present application, the first indicator includes at least one of the following: air humidity; rainfall rate; fog intensity; concentration of suspended particulate matter in the air.

[0277] Optionally, in the embodiment of the present application, the first measurement quantity includes at least one of the following:

[0278] In-phase branch data;

[0279] Orthogonal branch data;

[0280] The power spectrum of any one of the four dimensions of delay, Doppler, azimuth, and elevation, or the power spectrum of the combined dimension of at least two dimensions;

[0281] Received signal power; the received signal power can be RSRP or RSSI

[0282] Signal power of line-of-sight wireless transmission path;

[0283] A first value, where the first value is a value corresponding to the first indicator obtained by the first sensing node by performing a first sensing measurement;

[0284] The first measurement is averaged or smoothed.

[0285] Optionally, in the embodiment of the present application, the second correction number includes at least one of the following:

[0286] a difference between the first value and the second measurement;

[0287] a ratio between the first value and the second measurement;

[0288] a difference between the first signal attenuation value and the second signal attenuation value;

[0289] a ratio between the first signal attenuation value and the second signal attenuation value;

[0290] The first signal attenuation value is: a signal attenuation value obtained according to the first measurement value;

[0291] The second signal attenuation value is: a signal attenuation value obtained by inverting the second measurement quantity.

[0292] Optionally, in the embodiment of the present application, the first data further includes at least one of the following:

[0293] an identifier of the first sensing node;

[0294] The beam pointing or beam identification when the first perception node performs the first perception.

[0295] Optionally, in an embodiment of the present application, the above-mentioned sending module 72 is also used to send at least part of the following information of at least one item to at least two first perception nodes before the above-mentioned receiving module 71 receives the first data from at least two first perception nodes: a first signal configuration; a first measurement configuration; a second measurement configuration; a first report configuration; wherein the first signal configuration is a related configuration of the perception signal of the first perception node performing the first perception; the first measurement configuration is used to configure the measurement quantity type of the first measurement quantity; the second measurement configuration is a related configuration of the first perception node performing the second perception; and the first report configuration is used to configure the reporting behavior of the first perception node after performing the first perception and the second perception.

[0296] Optionally, in an embodiment of the present application, the above-mentioned sending module 72 is also used to send at least part of the following information of at least one item to the second perception node: a second signal configuration; a third measurement configuration; a second report configuration; wherein the second signal configuration is a related configuration of the perception signal of the second perception node to perform the first perception; the third measurement configuration is used to configure the measurement quantity type of the third measurement quantity that the second perception node needs to obtain when performing the first perception; and the second report configuration is used to configure the reporting behavior of the second perception node after performing the first perception.

[0297] Optionally, in the embodiment of the present application, the third measurement quantity includes at least one of the following:

[0298] In-phase branch data;

[0299] Orthogonal branch data;

[0300] Channel matrix;

[0301] The power spectrum of any one of the four dimensions of delay, Doppler, azimuth, and elevation, or the power spectrum of the combined dimension of at least two dimensions;

[0302] Received signal power; the received signal power can be RSRP or RSSI

[0303] Line-of-sight wireless transmission path signal power;

[0304] A second value, where the second value is a value corresponding to the first indicator obtained by the second sensing node by performing the first sensing measurement;

[0305] The third measurement is averaged or smoothed.

[0306] Optionally, in the embodiment of the present application, combined with Fig.10 ,like Fig.11 As shown, the above-mentioned device 70 also includes an acquisition module 73 and a processing module 74; the acquisition module is used to acquire the perception node information of at least two third perception nodes before the above-mentioned receiving module 71 receives the first data from at least two first perception nodes; the processing module 73 is used to determine the target perception node set based on the perception node information and the perception requirement information; wherein the target perception node set includes at least two first perception nodes; the perception requirement information includes at least one of the following: indicators that need to be perceived, perception areas, perception prior information; the perception nodes in the target perception node set are located in the perception area.

[0307] Optionally, in the embodiment of the present application, the sensing node information of each third sensing node includes at least one of the following:

[0308] The ID of the third sensor node,

[0309] The perception capability information of the third perception node,

[0310] The location information of the third sensing node,

[0311] The posture information of the third sensing node;

[0312] The sensing capability information includes at least one of the following:

[0313] The ability to perform first perception,

[0314] the ability to perform second perception;

[0315] The posture information of the third sensing node includes at least one of the following:

[0316] The orientation of the antenna panel of the third sensing node,

[0317] The rotation angle of the local coordinate system of the third sensing node relative to the global coordinate system,

[0318] The rotation angle of the third sensing node relative to a reference coordinate system.

[0319] Optionally, in an embodiment of the present application, the processing module 74 is also used for processing the second correction number in a first manner to obtain the first correction number before the sending module 72 sends the first correction number to the second perception node; the first manner includes any one of the following: an interpolation manner; a fitting manner; a weighted manner; wherein the second correction number is the second correction number in the first data, or the second correction number is determined by the network side device based on the first measurement quantity and the second measurement quantity.

[0320] In the weather sensing device provided in the embodiment of the present application, the weather sensing device receives first data from at least two first sensing nodes; the weather sensing device sends a first correction number to the second sensing node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement of the second sensing node; wherein, the first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; the measurement of the second sensing node is obtained by the second sensing node performing the first sensing; the first sensing is based on the perception of the integration of communication and perception; the second sensing is based on the perception of the sensor. In this way, the weather sensing device can obtain the first correction number, which is determined based on the first data obtained by at least two sensing nodes performing the first sensing and the second sensing, so that the second sensing node can correct the measurement of the second sensing node based on the first correction number, thereby obtaining an accurate measurement, that is, the result of weather perception, thereby improving the accuracy of the result of weather perception.

[0321] The present application embodiment provides another weather sensing device, such as Fig.12 As shown, the weather sensing device 80 includes: a receiving module 81 and a processing module 82.

[0322] Among them, the above-mentioned receiving module 81 is used for the second perception node to receive the first correction number from the network side device; the above-mentioned processing module 82 is used for the second perception node to correct the measurement quantity of the second perception node based on the first correction number received by the receiving module; the first correction number is determined based on the first data of at least two first perception nodes; the first data of the first perception node is obtained by the first perception node performing the first perception and the second perception; the measurement quantity of the second perception node is obtained by the second perception node performing the first perception; the first perception is a perception based on the integration of communication and perception; the second perception is a perception based on sensors.

[0323] Optionally, in the embodiment of the present application, combined with Fig.12 ,like Fig.13 As shown, the above-mentioned device 80 also includes an acquisition module 83; the acquisition module 83 is used to obtain at least part of the information of at least one of the following items: a second signal configuration; a third measurement configuration; a second report configuration; wherein the second signal configuration is a related configuration of the perception signal of the second perception node performing the first perception; the third measurement configuration is used to configure the measurement quantity type of the third measurement quantity that the second perception node needs to obtain when performing the first perception; the second report configuration is used to configure the reporting behavior of the second perception node after performing the first perception.

[0324] In the weather sensing device provided in the embodiment of the present application, the weather sensing device receives first data from at least two first sensing nodes; the weather sensing device sends a first correction number to the second sensing node, the first correction number is determined based on the first data, and the first correction number is used to correct the measurement of the second sensing node; wherein, the first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; the measurement of the second sensing node is obtained by the second sensing node performing the first sensing; the first sensing is based on the perception of the integration of communication and perception; the second sensing is based on the perception of the sensor. In this way, the weather sensing device can obtain the first correction number, which is determined based on the first data obtained by at least two sensing nodes performing the first sensing and the second sensing, so that the second sensing node can correct the measurement of the second sensing node based on the first correction number, thereby obtaining an accurate measurement, that is, the result of weather perception, thereby improving the accuracy of the result of weather perception.

[0325] like Fig.14As shown, the embodiment of the present application further provides a communication device 900, including a processor 901 and a memory 902, and the memory 902 stores a program or instruction that can be run on the processor 901. For example, when the communication device 900 is a terminal, the program or instruction is executed by the processor 901 to implement the various steps of the above-mentioned weather perception method embodiment, and can achieve the same technical effect. When the communication device 900 is a network side device, the program or instruction is executed by the processor 901 to implement the various steps of the above-mentioned weather perception method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0326] The embodiment of the present application also provides a network side device, including a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run a program or instruction to implement the following Figures 1 to 9 The steps of the method embodiment shown. This network side device embodiment corresponds to the above network side device method embodiment, and each implementation process and implementation mode of the above method embodiment can be applied to this network side device embodiment and can achieve the same technical effect.

[0327] Specifically, the embodiment of the present application also provides a network side device. Fig.15 As shown, the network side device 90 includes: an antenna 91, a radio frequency device 92, a baseband device 93, a processor 94 and a memory 95. The antenna 91 is connected to the radio frequency device 92. In the uplink direction, the radio frequency device 92 receives information through the antenna 91 and sends the received information to the baseband device 93 for processing. In the downlink direction, the baseband device 93 processes the information to be sent and sends it to the radio frequency device 92. The radio frequency device 92 processes the received information and sends it out through the antenna 91.

[0328] The method executed by the network-side device in the above embodiment may be implemented in the baseband device 93, which includes a baseband processor.

[0329] The baseband device 93 may include, for example, at least one baseband board on which a plurality of chips are arranged. Fig.15 As shown, one of the chips is, for example, a baseband processor, which is connected to the memory 95 through a bus interface to call the program in the memory 95 to execute the network device operations shown in the above method embodiment.

[0330] The network side device may further include a network interface 96, which is, for example, a Common Public Radio Interface (CPRI).

[0331] Specifically, the network side device 90 of the embodiment of the present application further includes: instructions or programs stored in the memory 95 and executable on the processor 94, and the processor 94 calls the instructions or programs in the memory 95 to execute. Figures 10 to 13 The methods executed by the modules shown achieve the same technical effects, and therefore will not be described here in detail to avoid repetition.

[0332] Specifically, the embodiment of the present application also provides a network side device. Fig.16 As shown, the network side device 1000 includes: a processor 1001, a network interface 1002 and a memory 1003. The network interface 1002 is, for example, a common public radio interface (CPRI).

[0333] Specifically, the network side device 1000 of the embodiment of the present application further includes: an instruction or program stored in the memory 1003 and executable on the processor 1001, and the processor 1001 calls the instruction or program in the memory 1003 to execute Figure 10 to Figure 11 The methods executed by the modules shown achieve the same technical effects, and therefore will not be described here in detail to avoid repetition.

[0334] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned weather perception method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0335] The processor is the processor in the terminal in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk, etc. In some examples, the readable storage medium may be a non-transient readable storage medium.

[0336] The embodiment of the present application also provides a terminal, including a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run a program or instruction to implement the following Fig. 9 The steps in the method embodiment shown. This terminal embodiment corresponds to the above-mentioned terminal side method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to this terminal embodiment and can achieve the same technical effect. Specifically, Fig.17 A schematic diagram of the hardware structure of a terminal for implementing an embodiment of the present application.

[0337] The terminal 1100 includes but is not limited to: a radio frequency unit 1101, a network module 1102, an audio output unit 1103, an input unit 1104, a sensor 1105, a display unit 1106, a user input unit 1107, an interface unit 1108, a memory 1109 and at least some of the components of a processor 1110.

[0338] Those skilled in the art will appreciate that the terminal 1100 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 1110 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Fig.17 The terminal structure shown in the figure does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0339] It should be understood that in the embodiment of the present application, the input unit 1104 may include a graphics processing unit (GPU) 11041 and a microphone 11042, and the graphics processor 11041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 1106 may include a display panel 11061, and the display panel 1161 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1107 includes a touch panel 11071 and at least one of other input devices 11072. The touch panel 11071 is also called a touch screen. The touch panel 11071 may include two parts: a touch detection device and a touch controller. Other input devices 11072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0340] In the embodiment of the present application, after receiving downlink data from the network side device, the RF unit 1101 can transmit the data to the processor 1110 for processing; in addition, the RF unit 1101 can send uplink data to the network side device. Generally, the RF unit 1101 includes but is not limited to an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

[0341] The memory 1109 can be used to store software programs or instructions and various data. The memory 1109 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory 1109 may include a volatile memory or a non-volatile memory, or the memory 1109 may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM), and a direct memory bus random access memory (DRRAM). The memory 1109 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0342] The processor 1110 may include one or more processing units; optionally, the processor 1110 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 1110.

[0343] The radio frequency unit 1101 is used to receive a first correction number from a network side device;

[0344] The processor 1110 is configured to correct the measurement value of the second sensing node based on the first correction number;

[0345] The first correction number is determined based on first data of at least two first sensing nodes;

[0346] The first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing;

[0347] The measurement quantity of the second sensing node is obtained by the second sensing node performing the first sensing;

[0348] The first perception is based on the integration of communication and perception;

[0349] The second perception is sensor-based perception.

[0350] In this way, the network side device can obtain a first correction number, which is determined based on the first data obtained by at least two perception nodes performing the first perception and the second perception, so that the second perception node can correct the measurement quantity of the second perception node based on the first correction number, thereby obtaining an accurate measurement quantity, that is, the result of weather perception, thereby improving the accuracy of the weather perception result.

[0351] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the method embodiment and achieve the same or corresponding technical effect. To avoid repetition, it will not be repeated here.

[0352] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned weather sensing method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0353] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0354] The embodiments of the present application further provide a computer program / program product, which is stored in a storage medium. The computer program / program product is executed by at least one processor to implement the various processes of the above-mentioned weather perception method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0355] An embodiment of the present application also provides a communication system, including: a network side device and a second sensing node, the network side device can be used to execute the steps of the above weather sensing method, and the second sensing node can be used to execute the steps of the above weather sensing method.

[0356] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the method and device in the embodiment of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0357] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general hardware platform, and of course, can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, disk, CD, etc.), including several instructions to enable a terminal or a network side device to execute the methods of each embodiment of the present application.

[0358] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of the present application and the scope of protection of the claims, and these implementation methods are all within the protection of the present application.

Claims

1. A weather sensing method, characterized in that: include: The network side device receives first data from at least two first sensing nodes; The network side device sends a first correction number to the second sensing node, where the first correction number is determined based on the first data, and the first correction number is used to correct the measurement amount of the second sensing node; The first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; The measurement amount of the second sensing node is obtained by the second sensing node performing the first sensing; The first perception is a perception based on the integration of communication and perception; The second perception is sensor-based perception.

2. The method according to claim 1, characterized in that: The first data of the first sensing node includes at least one of the following: A first measurement quantity; A second measurement quantity; The second correction number; The first measurement amount is a measurement amount obtained by the first sensing node measuring a first indicator at the first sensing node through the first sensing; The second measurement amount is a value obtained by measuring the first indicator at the first sensing node by the first sensing node through the second sensing; The second correction number is determined by using the first measurement quantity and the second measurement quantity.

3. The method according to claim 2, characterized in that The first indicator includes at least one of the following: Air humidity; rainfall rate; The intensity of the fog; The concentration of suspended particulate matter in the air.

4. The method according to claim 2 or 3, characterized in that: The first measurement includes at least one of the following: In-phase branch data; Orthogonal branch data; Channel matrix; The power spectrum of any one of the four dimensions of delay, Doppler, azimuth, and elevation, or the power spectrum of the combined dimension of at least two dimensions; Received signal power; Signal power of line-of-sight wireless transmission path; A first value, where the first value is a value corresponding to the first indicator obtained by the first sensing node by performing a first sensing measurement; The first measurement is averaged or smoothed.

5. The method according to claim 2, characterized in that: The second correction number includes at least one of the following: a difference between the first value and the second measurement; a ratio between the first value and the second measurement; a difference between the first signal attenuation value and the second signal attenuation value; a ratio between the first signal attenuation value and the second signal attenuation value; Wherein, the first signal attenuation value is: a signal attenuation value obtained according to the first measurement value; The second signal attenuation value is: a signal attenuation value obtained by inverting the second measurement quantity.

6. The method according to claim 2, wherein the first data further comprises at least one of the following: an identifier of the first sensing node; The first sensing node performs beam pointing or beam identification when performing the first sensing.

7. The method according to claim 4, characterized in that Before the network side device receives the first data from at least two first sensing nodes, the method further includes: The network side device sends at least part of information of at least one of the following items to the at least two first sensing nodes: First signal configuration; A first measurement configuration; Second measurement configuration; First report configuration; The first signal configuration is a configuration related to the first sensing node performing the first sensing signal; The first measurement configuration is used to configure a measurement quantity type of the first measurement quantity; The second measurement configuration is a configuration related to the first sensing node performing the second sensing; The first reporting configuration is used to configure the reporting behavior of the first perception node after performing the first perception and the second perception.

8. The method according to claim 1, characterized in that: The method further comprises: The network-side device sends at least part of information of at least one of the following items to the second sensing node: Second signal configuration; The third measurement configuration; Second report configuration; The second signal configuration is a configuration related to the second sensing node performing the first sensing signal; The third measurement configuration is used to configure the measurement quantity type of the third measurement quantity that the second sensing node needs to obtain when performing the first sensing; The second reporting configuration is used to configure the reporting behavior of the second perception node after performing the first perception.

9. The method according to claim 8, characterized in that The third measurement includes at least one of the following: In-phase branch data; Orthogonal branch data; Channel matrix; The power spectrum of any one of the four dimensions of delay, Doppler, azimuth, and elevation, or the power spectrum of the combined dimension of at least two dimensions; Received signal power; LOS path signal power; a second value, where the second value is a value corresponding to the first indicator obtained by the second sensing node by performing the first sensing measurement; The third measurement is averaged or smoothed.

10. The method according to any one of claims 1 to 9, characterized in that: Before the network side device receives the first data from at least two first sensing nodes, the method further includes: The network side device obtains sensing node information of at least two third sensing nodes; The network side device determines a target sensing node set based on the sensing node information and the sensing requirement information; Wherein, the target sensing node set includes the at least two first sensing nodes; The sensing requirement information includes at least one of the following: an indicator to be sensed, a sensing area, and prior sensing information; The sensing nodes in the target sensing node set are located in the sensing area.

11. The method according to claim 10, characterized in that The sensing node information of each of the third sensing nodes includes at least one of the following: The identification ID of the third sensing node, The sensing capability information of the third sensing node, The location information of the third sensing node, The posture information of the third sensing node; The sensing capability information includes at least one of the following: The ability to perform the first perception, the ability to perform the second perception; The posture information of the third sensing node includes at least one of the following: the orientation of the antenna panel of the third sensing node, The rotation angle of the local coordinate system of the third sensing node relative to the global coordinate system, The rotation angle of the third sensing node relative to a reference coordinate system.

12. The method according to claim 2, characterized in that: Before the network side device sends the first correction number to the second sensing node, the method further includes: The network side device processes the second correction number in a first manner to obtain the first correction number; The first method includes any one of the following: Interpolation method; Fitting method; Weighting method; The second correction number is the second correction number in the first data, or the second correction number is determined by a network side device according to the first measurement amount and the second measurement amount.

13. A weather sensing method, characterized in that: include: The second sensing node receives a first correction number from a network side device; The second sensing node corrects the measurement of the second sensing node based on the first correction number; The first correction number is determined based on first data of at least two first sensing nodes; The first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; The measurement amount of the second sensing node is obtained by the second sensing node performing the first sensing; The first perception is a perception based on the integration of communication and perception; The second perception is sensor-based perception.

14. The method according to claim 13, characterized in that The method further comprises: The second sensing node obtains at least part of information of at least one of the following: Second signal configuration; The third measurement configuration; Second report configuration; The second signal configuration is a configuration related to the second sensing node performing the first sensing signal; The third measurement configuration is used to configure the measurement quantity type of the third measurement quantity that the second sensing node needs to obtain when performing the first sensing; The second reporting configuration is used to configure the reporting behavior of the second perception node after performing the first perception.

15. A weather sensing device, characterized in that: The weather sensing device comprises: a receiving module and a sending module; The receiving module is used to receive first data from at least two first sensing nodes; The sending module is used to send a first correction number to the second sensing node, where the first correction number is determined based on the first data, and the first correction number is used to correct the measurement value of the second sensing node; The first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; The measurement amount of the second sensing node is obtained by the second sensing node performing the first sensing; The first perception is a perception based on the integration of communication and perception; The second perception is sensor-based perception.

16. A weather sensing device, characterized in that: The weather sensing device comprises: a receiving module and a processing module; The receiving module is used for the second sensing node to receive the first correction number from the network side device; The processing module is used for the second sensing node to correct the measurement amount of the second sensing node based on the first correction number received by the receiving module; The first correction number is determined based on first data of at least two first sensing nodes; The first data of the first sensing node is obtained by the first sensing node performing the first sensing and the second sensing; The measurement amount of the second sensing node is obtained by the second sensing node performing the first sensing; The first perception is a perception based on the integration of communication and perception; The second perception is sensor-based perception.

17. A network side device, characterized in that: It comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the weather perception method as described in any one of claims 1 to 12 are implemented.

18. A second sensing node, characterized in that: It comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the weather perception method as described in any one of claims 13 and 14 are implemented.

19. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, it implements the weather sensing method as described in any one of claims 1 to 12, or implements the steps of the weather sensing method as described in any one of claims 13 and 14.

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