Communication sensing method, base station and computer readable storage medium

Abstract

The invention relates to a communication sensing method, a base station and a computer readable storage medium, and relates to the technical field of communication. The communication sensing method is applied to a base station, and comprises the following steps: receiving sensing data corresponding to a flight target; determining a motion parameter and a position of the flying target according to the sensing data; initiating an establishment process of a communication link to the flight target; under the condition that the communication link is successfully established, communicating with the flight target to obtain communication data; and determining the type of the flying target according to the motion parameters, the position and the communication data of the flying target.

Description

Technical Field

[0001] The present disclosure relates to the field of artificial intelligence, and in particular to a communication perception method, a base station, and a computer-readable storage medium. Background Art

[0002] With the rapid development of the low-altitude economy, new business scenarios such as drone delivery, air taxis and smart city monitoring are constantly emerging. In order to ensure the safety of drone low-altitude operations in these application scenarios, it is necessary not only to provide low-altitude drones with stable and reliable basic communication capabilities, but also to have advanced perception and recognition capabilities.

[0003] The 6G wireless communication system introduces Integrated Sensing and Communication (ISAC) technology, which can realize communication and perception functions simultaneously under the same network architecture. Summary of the invention

[0004] According to the first aspect of the present disclosure, a communication perception method is provided, which is applied to a base station and includes: receiving perception data corresponding to a flying target; determining the motion parameters and position of the flying target based on the perception data; initiating a communication link establishment process to the flying target; when the communication link is successfully established, communicating with the flying target to obtain communication data; and determining the category of the flying target based on the motion parameters, position and communication data of the flying target.

[0005] In some embodiments, the communication perception method also includes: in the event that the communication link cannot be established successfully, selecting an image sensor local to or remote from the base station based on the motion parameters and position of the flying target; and determining whether the flying target is an illegal drone or other flying object based on image data of the flying target collected by the selected image sensor.

[0006] In some embodiments, an image sensor local to or remote from the base station is selected based on the motion parameters and position of the flying target, including: when the distance between the flying target and the base station exceeds a threshold, the motion parameters and position of the flying target are sent to a control center, so that the control center selects an image sensor remote from the flying target whose distance to the base station does not exceed the threshold.

[0007] In some embodiments, a local or remote image sensor of the base station is selected according to the motion parameters and position of the flying target, including: when the distance between the flying target and the base station does not exceed a threshold, using a local image sensor to collect image data of the flying target.

[0008] In some embodiments, the communication perception method also includes: in the event that the communication link cannot be established successfully, selecting a local or remote image sensor of the base station based on the motion parameters and position of the flying target; in the event that a local image sensor is selected to collect image data of the flying target, sending the image data of the flying target to a control center, so that the control center can determine whether the flying target is an illegal drone or other flying object based on the image data.

[0009] In some embodiments, determining the category of the flight target based on the motion parameters, position and communication data of the flight target includes: obtaining a flight plan of the flight target; and determining that the flight target is a legitimate drone when the state parameters and position of the flight target conform to the flight plan.

[0010] In some embodiments, determining the category of the flight target based on the motion parameters, position and communication data of the flight target includes: determining that the flight target is an illegal drone when the state parameters of the flight target do not conform to the flight plan.

[0011] In some embodiments, the communication data includes an identification of the flight target, and obtaining the flight plan of the flight target includes: sending the identification of the flight target to a control center; and receiving the flight plan of the flight target sent by the control center according to the identification.

[0012] In some embodiments, receiving perception data corresponding to a flying target includes: sending a perception signal; receiving the perception signal reflected by the flying target to obtain the perception data.

[0013] According to a second aspect of the present disclosure, a base station is provided, comprising: a receiving module configured to receive perception data corresponding to a flying target; a parameter determination module configured to determine the motion parameters and position of the flying target based on the perception data; a link establishment module configured to initiate a communication link establishment process to the flying target; a communication module configured to communicate with the flying target to obtain communication data when the communication link is successfully established; and a determination module configured to determine the category of the flying target based on the motion parameters, position and communication data of the flying target.

[0014] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0015] Memory; and

[0016] A processor coupled to the memory, wherein the processor is configured to execute the communication awareness method according to some embodiments of the present disclosure based on instructions stored in the memory.

[0017] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the instructions are executed by a processor, the communication perception method according to some embodiments of the present disclosure is implemented.

[0018] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising computer program instructions, which, when executed by a processor, implement the communication perception method according to some embodiments of the present disclosure.

[0019] According to a sixth aspect of the present disclosure, there is provided a communication system, including:

[0020] A base station according to some embodiments of the present disclosure; and a control center. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0022] The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0023] Figure 1 A flow chart showing a communication awareness method according to some embodiments of the present disclosure;

[0024] Figure 2 A schematic diagram showing identification of a flying target according to some embodiments of the present disclosure;

[0025] Figure 3 An interactive diagram showing identification of a drone according to some embodiments of the present disclosure;

[0026] Figure 4 An interactive diagram showing identification of illegal drones according to some embodiments of the present disclosure;

[0027] Figure 5 An interactive diagram showing identification of illegal drones according to other embodiments of the present disclosure;

[0028] Figure 6 An interactive diagram showing identification of illegal drones according to some further embodiments of the present disclosure;

[0029] Figure 7 An interactive diagram showing identification of illegal drones according to some further embodiments of the present disclosure;

[0030] Figure 8 A block diagram of a base station according to some embodiments of the present disclosure is shown;

[0031] Fig. 9 A block diagram showing an electronic device according to some other embodiments of the present disclosure;

[0032] Fig.10 A block diagram showing a computer system for implementing some embodiments of the present disclosure;

[0033] Fig.11 An architectural diagram of a communication-aware system for implementing some embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0034] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless otherwise specifically stated.

[0035] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0036] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0037] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0038] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0039] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0040] In the related art, radar networking is used to sense low-altitude targets, which is inefficient and has high construction costs. The present disclosure provides a communication sensing method, a base station, and a computer-readable storage medium, which utilize the sensing and communication capabilities of a synaesthesia integrated network to effectively identify low-altitude flying targets.

[0041] Figure 1 A flow chart of a communication awareness method according to some embodiments of the present disclosure is shown.

[0042] like Figure 1 As shown, the communication perception method includes steps S1 to S5. In some embodiments, the communication perception method is performed by a base station.

[0043] In step S1, perception data corresponding to a flight target is received.

[0044] In some embodiments, receiving the sensing data corresponding to the flying target includes: sending a sensing signal; receiving the sensing signal reflected by the flying target to obtain the sensing data. There are many sensing reference signals of the base station, such as linear frequency modulation (LFM) and orthogonal frequency-division multiplexing (OFDM).

[0045] The function of the synesthesia base station sending a perception signal can be triggered by an event. For example, the control center notifies the synesthesia base station to trigger the function, or other synesthesia base stations inform the synesthesia base station to trigger the function. Legitimate drones can also establish a communication link with the synesthesia base station, and the synesthesia base station triggers the function.

[0046] The sensing function can also be triggered periodically, that is, the synaesthesia base station activates the function at fixed intervals.

[0047] The synesthesia base station analyzes the perception signal, that is, within a period of time after the synesthesia base station sends the perception signal, the synesthesia base station continues to receive the signal and processes the signal to obtain the perception data.

[0048] In step S2, the motion parameters and position of the flying target are determined based on the sensing data.

[0049] For example, if a target is found in the signal, its speed information, flight direction and other motion parameters and position information are analyzed.

[0050] In step S3, a communication link establishment process is initiated to the flying target. For example, when the synaesthesia base station senses a new flying target based on the sensing data, it attempts to establish a communication link with the target. If the target is a drone, the synaesthesia base station may also attempt to establish a communication link with the flying target if it receives the broadcast signal of the drone.

[0051] The method of establishing a communication link is, for example, based on the following process: first, the base station sends a communication reference signal to the flying target; if the flying target receives the reference signal, it can feedback an indication signal for establishing the communication link; if the base station receives the indication signal fed back by the target, the communication link is established; if the base station does not receive the indication signal fed back by the target within the specified time, it is determined that the communication link cannot be established.

[0052] In step S4, when the communication link is successfully established, communication is performed with the flying target to obtain communication data, which may include information of the flying target.

[0053] When the telepathic base station establishes a communication link with the perceived flight target, the identity, status, etc. of the networked perceived flight target can be confirmed.

[0054] In step S5, the category of the flying target is determined based on the motion parameters, position and communication data of the flying target. For example, by comparing whether the sensing data such as the motion parameters and position of the flying target are consistent with the communication data, it is determined whether the flying target is a legal drone. A legal drone is, for example, a legal drone, that is, a drone that has completed network registration and flies along a prescribed route. An illegal drone is, for example, a drone that has not been registered with the network and a drone that has been registered with the network but does not fly along a prescribed route.

[0055] In some embodiments, determining the category of the flight target based on the perception data and the communication data includes: obtaining a flight plan of the flight target; and determining that the flight target is a legitimate drone when the state parameters and position of the flight target conform to the flight plan.

[0056] For example, the telepathic base station can obtain the identification information (remote ID) and flight plan of the flying target through communication. If the flight plan of the flying target is consistent with the state parameters and position of the flying target sensed by the base station, the flying target is considered to be a legitimate drone.

[0057] In some embodiments, the category of the flight target is determined based on the motion parameters, position and communication data of the flight target, including: when the state parameters of the flight target do not conform to the flight plan, determining that the flight target is an illegal drone.

[0058] In some embodiments, the communication data includes an identification of the flight target, and obtaining the flight plan of the flight target includes: sending the identification of the flight target to the control center; receiving the flight plan of the flight target sent by the control center according to the identification. For example, the control center can formulate a flight plan for the networked drone and then send it to the drone. In addition, the control center sends the flight plan to the telepathic base station.

[0059] The communication data may also include the flight plan of the flight target, that is, the flight plan is reported to the telepathic base station by the sensing flight target itself.

[0060] In some embodiments, the communication perception method also includes: in the event that the communication link cannot be established successfully, selecting an image sensor local to or remote from the base station based on the motion parameters and position of the flying target; and determining whether the flying target is an illegal drone or other flying object based on image data of the flying target collected by the selected image sensor.

[0061] The image sensor is, for example, a camera. The camera may have information processing capabilities or be connected to a device that can perform machine learning and complete classification tasks. The camera can be used to capture the perceived target, and the captured data can be analyzed using image processing technology to determine whether the target is a flying bird or a drone and report it.

[0062] For example, if the synaesthesia base station cannot establish a communication link with the flying target, the flying target is considered not to be a legal drone. At the same time, the type of the perceived flying target can still be further confirmed, whether it is an illegal drone or other flying object (such as a flying bird or kite). By combining synaesthesia integration and image processing technology, the rapid perception and identification of legal drones, illegal drones and other flying objects (flying birds, kites) is achieved.

[0063] In some embodiments, an image sensor local to or remote from the base station is selected based on the motion parameters and position of the flying target, including: when the distance between the flying target and the base station exceeds a threshold, the motion parameters and position of the flying target are sent to a control center, so that the control center selects an image sensor remote from the flying target whose distance to the base station does not exceed the threshold.

[0064] For example, when the distance between the flying target and the base station is greater than a given threshold d, the telepathic base station determines that a remote camera or a camera of another base station is needed to photograph the flying target, and then reports the position and motion parameters of the perceived flying target to the control center.

[0065] The control center can maintain a data table of the distribution of telepathic base stations and cameras, including the numbers and location distribution information of each telepathic base station and camera. The control center can screen the locations and numbers of remote cameras that are close to the flight target by looking up the table, and start the cameras that are close to the perceived flight target to identify the flight target.

[0066] In some embodiments, when the distance between the flying target and the base station does not exceed a threshold, the image data of the flying target is collected using a local image sensor. For example, if the distance between the flying target and the base station is less than or equal to a given threshold d, the local camera of the base station is activated to participate in the recognition.

[0067] After the camera collects the image data of the flying target, it can report the image data to the control center for target identification and obtain the identification result (whether it is a drone or other flying object). If the target is identified as a drone based on the camera shooting data and communication cannot be established, it is determined that the target is an illegal drone.

[0068] In some embodiments, the communication perception method also includes: in the event that the communication link cannot be established successfully, selecting a local or remote image sensor of the base station based on the motion parameters and position of the flying target; in the event that a local image sensor is selected to collect image data of the flying target, sending the image data of the flying target to a control center, so that the control center can determine whether the flying target is an illegal drone or other flying object based on the image data.

[0069] For example, if the camera is a local camera, the local base station can also perform target recognition and report the recognition result to the control center. If the camera is a camera of another base station, the other base station can also perform target recognition and report the recognition result to the control center.

[0070] The base station can also report perception data, recognition results, camera shooting data, etc. to the control center.

[0071] After receiving the shooting data from the telepathic device and the camera, the control center can combine the shooting data from the camera with the perception data from the telepathic device to comprehensively analyze and obtain the final perception result. For example, the telepathic base station reports the location, distance, flight speed, and flight direction of the perceived target, and also reports the unconnected identification; the camera reports the camera data of the flying target. After being processed by the control center, the conclusion is obtained: at x time, at Y (distance, height), there is an illegal drone / bird / kite flying at a speed of V in the direction of W.

[0072] According to the communication perception method of some embodiments of the present disclosure, by comprehensively analyzing the perception data (motion parameters, position) and communication data of the flying target, it is possible to effectively monitor low-altitude flying drones, timely identify drones with abnormal flights or illegal intrusions, and improve airspace safety.

[0073] Figure 2 A schematic diagram showing identification of a flying target according to some embodiments of the present disclosure is shown.

[0074] like Figure 2 As shown, when a communication link can be established, the base station or control center can compare whether the flight plan is the same as the perception result. For example, the flight plan of the drone with number (remoteID) 1 is to fly to location Y at X time and X minutes. The perception result is that there is a drone at location Y at X time and X minutes. Then, the base station confirms through communication that its number (remoteID) is 1, which is the same as the flight plan, so it is a legal drone. If the perception result is different from the flight plan, it is an illegal drone. If a communication link cannot be established, the camera is started and image recognition is used to determine whether the target is a drone or other flying object. If the target is a drone, but because the drone is not connected to the network, it is determined to be an illegal drone.

[0075] Figure 3 An interactive diagram illustrating identification of a drone according to some embodiments of the present disclosure.

[0076] like Figure 3 As shown, identifying a flying target includes events 101 - 110 .

[0077] In event 101, the perception function of the synesthesia base station can be triggered by the networked drone, by the control center, or periodically by the synesthesia base station. In other words, the networked drone broadcasts identity information to the synesthesia base station, or the control center sends a perception instruction to the synesthesia base station to let the base station perceive, which can trigger the perception function of the base station. In addition, the control center can also send a flight plan to the base station.

[0078] In event 102, the telepathic base station sends a perception signal to the networked drone.

[0079] In event 103, the synaesthesia base station receives the reflected perception signal.

[0080] In event 104, the telepathic base station analyzes the sensing data, such as the position, distance, flight speed, and flight direction of the flying target.

[0081] In event 105, the telepathic base station sends a communication reference signal to the networked drone.

[0082] In event 106, the networked drone receives and feeds back the communication feedback signal.

[0083] In event 107, a communication link is established.

[0084] In event 108, the drone reported identification information (such as remoteID) and flight plan.

[0085] In event 109, the telepathic base station compares the sensing data with the information reported by the drone to determine whether the drone is a legal drone. It can also compare the sensing data with the flight plan of the drone to determine whether the drone is a legal drone.

[0086] In event 110, the telepathic base station reports the sensing result to the control center.

[0087] Figure 4 An interactive diagram illustrating identification of illegal drones according to some embodiments of the present disclosure.

[0088] like Figure 4 As shown, identifying a flying target includes events 201-208.

[0089] In event 201, the control center sends a sensing instruction to the telepathic base station.

[0090] In event 202, the telepathic base station sends a perception signal to the perception flight target.

[0091] In event 203, the synaesthesia base station receives the reflected perception signal.

[0092] In event 204, the telepathic base station analyzes the sensing data to obtain the position, distance, flight speed, and flight direction.

[0093] In event 205, the synaesthesia base station sends a communication reference signal but fails to successfully establish a communication connection.

[0094] In event 206, the synaesthesia base station activates the local camera.

[0095] In event 207, the telepathic base station reports the analyzed perception data and camera shooting data to the control center.

[0096] In event 208, the control center analyzed the perception results and confirmed whether it was an illegal drone or other flying object.

[0097] Figure 5 An interactive diagram showing identification of illegal drones according to other embodiments of the present disclosure.

[0098] like Figure 5 As shown, the identification of the flying target includes events 301 to 308. The analysis of the sensing data and the camera shooting data can be completed at the synaesthesia base station, and the base station only needs to report the sensing result.

[0099] In event 301, the control center sends a sensing instruction to the synaesthesia base station.

[0100] In event 302, the telepathic base station sends a perception signal to the perception flight target.

[0101] In event 303, the synaesthesia base station receives the reflected perception signal.

[0102] In event 304, the synaesthesia base station analyzes the perception data.

[0103] In event 305, the synaesthesia base station sends a communication reference signal, but fails to successfully establish a communication connection.

[0104] In event 306, the telepathic base station activates the local camera.

[0105] In event 307, the telepathic base station comprehensively analyzed the perception data and the results of the flying target image recognition to obtain the perception result and confirm whether it was an illegal drone or other flying object.

[0106] In event 308, the synaesthesia base station reports the sensing result.

[0107] Figure 6 An interactive diagram illustrating identification of illegal drones according to further embodiments of the present disclosure.

[0108] like Figure 6 As shown, identifying a flying target includes events 401 - 409 .

[0109] In event 401, the control center sends a sensing instruction to the synaesthesia base station.

[0110] In event 402, the telepathic base station sends a perception signal to the perception flight target.

[0111] In event 403, the synaesthesia base station receives the reflected perception signal.

[0112] In event 404, the telepathic base station analyzes the sensing data, such as the position, distance, and flight direction of the flying target.

[0113] In event 405, the synaesthesia base station sends a communication reference signal, but fails to successfully establish a communication connection.

[0114] In event 406, the telepathic base station reports the perception data.

[0115] In event 407, the control center selects remote cameras and sends a remote camera start signal.

[0116] In event 408, the remote camera reports the shooting data.

[0117] In event 409, the control center analyzes the shooting data and perception data, obtains the perception results, and determines whether the flight target is a non-networked drone or other flying object.

[0118] Figure 7 An interactive diagram illustrating identification of illegal drones according to further embodiments of the present disclosure.

[0119] like Figure 7 As shown, identifying a flight target includes events 501 - 510 .

[0120] In event 501, the control center sends a sensing instruction to the synaesthesia base station.

[0121] In event 502, the telepathic base station sends a perception signal to the perception flight target.

[0122] In event 503, the synaesthesia base station receives the reflected perception signal.

[0123] In event 504, the synaesthesia base station analyzes the perception data.

[0124] In event 505, the synaesthesia base station sends a communication reference signal, but fails to successfully establish communication.

[0125] In event 506, the telepathic base station reports the sensing data.

[0126] In event 507, the telepathic base station activates the remote camera.

[0127] In event 508, the image processing unit associated with the remote camera of the communication base station completes the flight target recognition.

[0128] In event 509, the image processing unit associated with the remote camera reports the image recognition result of the flying target.

[0129] In event 510, the control center comprehensively analyzed the perception data and image recognition results to determine whether the flight target was a non-networked drone or other flying object.

[0130] Figure 8 A block diagram of a base station according to some embodiments of the present disclosure is shown.

[0131] like Figure 8 As shown, the base station 8 includes a receiving module 81 , a parameter determination module 82 , a link establishment module 83 , a communication module 84 , and a determination module 85 .

[0132] The receiving module 81 is configured to receive the sensing data corresponding to the flight target, for example, Figure 1 Step S1 is shown.

[0133] The parameter determination module 82 is configured to determine the motion parameters and position of the flying target according to the sensing data, for example, by performing the following steps: Figure 1 Step S2 is shown.

[0134] The link establishment module 83 is configured to initiate a communication link establishment process to the flight target, for example, executing Figure 1 Step S3 shown.

[0135] The communication module 84 is configured to communicate with the flight target and obtain communication data when the communication link is successfully established, for example, by performing the following steps: Figure 1 Step S4 is shown.

[0136] The determination module 85 is configured to determine the category of the flying target according to the motion parameters, position and communication data of the flying target, for example, by performing the following steps: Figure 1 Step S5 is shown.

[0137] In some embodiments, the determination module 85 is further configured to select an image sensor local to or remote from the base station based on the motion parameters and position of the flying target when the communication link cannot be established successfully; and determine whether the flying target is an illegal drone or other flying object based on the image data of the flying target collected by the selected image sensor.

[0138] In some embodiments, the determination module 85 is further configured to: when the distance between the flying target and the base station exceeds a threshold, send the motion parameters and position of the flying target to the control center, so that the control center selects an off-site image sensor whose distance to the flying target does not exceed the threshold.

[0139] In some embodiments, the determination module 85 is further configured to: when the distance between the flying target and the base station does not exceed a threshold, collect image data of the flying target using a local image sensor.

[0140] In some embodiments, the determination module 85 is further configured to: in the event that the communication link cannot be established successfully, select a local or remote image sensor of the base station based on the motion parameters and position of the flying target; in the event that a local image sensor is selected to collect image data of the flying target, send the image data of the flying target to the control center, so that the control center can determine whether the flying target is an illegal drone or other flying object based on the image data.

[0141] In some embodiments, the determination module 85 is further configured to: obtain a flight plan of the flight target; and determine that the flight target is a legitimate drone when the state parameters and position of the flight target conform to the flight plan.

[0142] In some embodiments, the determination module 85 is further configured to: determine that the flight target is an illegal drone when the state parameters of the flight target do not conform to the flight plan.

[0143] In some embodiments, the determination module 85 is further configured to: send the identification of the flight target to the control center; and receive the flight plan of the flight target sent by the control center according to the identification.

[0144] In some embodiments, the receiving module 81 is further configured to: send a perception signal; receive the perception signal reflected by the flying target to obtain perception data.

[0145] Fig. 9 A block diagram of an electronic device according to some other embodiments of the present disclosure is shown.

[0146] like Fig. 9 As shown, the electronic device 9 includes a memory 91; and a processor 92 coupled to the memory 91, the memory 91 is used to store instructions for executing the communication perception method. The processor 92 is configured to execute the communication perception method in any of the embodiments of the present disclosure based on the instructions stored in the memory 91.

[0147] Fig.10 A block diagram of a computer system for implementing some embodiments of the present disclosure is shown.

[0148] like Fig.10 As shown, the computer system 100 may be embodied in the form of a general-purpose computing device. The computer system 100 includes a memory 1010, a processor 1020, and a bus 1000 that connects various system components.

[0149] The memory 1010 may include, for example, a system memory, a non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, and other programs. The system memory may include a volatile storage medium, such as a random access memory (RAM) and / or a cache memory. The non-volatile storage medium may store, for example, instructions for executing the communication sensing method in any of the embodiments of the present disclosure. The non-volatile storage medium includes, but is not limited to, a disk memory, an optical memory, a flash memory, etc.

[0150] The processor 1020 can be implemented by a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistors, etc. Discrete hardware components. Accordingly, each module such as the judgment module and the determination module can be implemented by a central processing unit (CPU) running instructions in a memory that execute corresponding steps, or can be implemented by a dedicated circuit that executes corresponding steps.

[0151] The bus 1000 may use any of a variety of bus architectures, including, but not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, and a Peripheral Component Interconnect (PCI) bus.

[0152] The computer system 100 may also include an input / output interface 1030, a network interface 1040, a storage interface 1050, etc. These interfaces 1030, 1040, 1050, the memory 1010, and the processor 1020 may be connected via a bus 1000. The input / output interface 1030 may provide a connection interface for input / output devices such as a display, a mouse, and a keyboard. The network interface 1040 may provide a connection interface for various networked devices. The storage interface 1050 may provide a connection interface for external storage devices such as a floppy disk, a USB flash drive, and an SD card.

[0153] The present disclosure also provides a communication perception system, including: a base station 8 and a control center.

[0154] Fig.11 An architectural diagram of a communication-aware system for implementing some embodiments of the present disclosure is shown.

[0155] like Fig.11 As shown, the base station senses the flying target and can report the sensed data to the control center.

[0156] Here, various aspects of the present disclosure are described with reference to flowcharts and / or block diagrams of methods, devices, and computer program products according to embodiments of the present disclosure. It should be understood that each frame of the flowchart and / or block diagram and the combination of frames can be implemented by computer-readable program instructions.

[0157] These computer-readable program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable device to produce a machine, so that the processor executes the instructions to produce means for implementing the functions specified in one or more blocks in the flowchart and / or block diagram.

[0158] These computer-readable program instructions can also be readable and stored in a computer-readable memory, which cause the computer to work in a specific manner to produce a product, including instructions for implementing the functions specified in one or more blocks in the flowchart and / or block diagram.

[0159] The present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects.

[0160] So far, the communication sensing method, base station, and computer-readable storage medium according to the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

Claims

1. A communication sensing method, applied to a base station, comprising: receiving sensing data corresponding to the flight target; Determining the motion parameters and position of the flying target according to the sensing data; Initiate a process of establishing a communication link to the flight target; When the communication link is successfully established, communicating with the flying target to obtain communication data; The category of the flying target is determined according to the motion parameters, position and communication data of the flying target.

2. The communication perception method according to claim 1, further comprising: In case the communication link is not established successfully, selecting an image sensor local or remote to the base station according to the motion parameters and position of the flying target; According to the image data of the flying target collected by the selected image sensor, it is determined that the flying target is an illegal UAV or other flying object.

3. The communication perception method according to claim 2, wherein: The step of selecting a local or remote image sensor of the base station according to the motion parameters and position of the flying target includes: When the distance between the flying target and the base station exceeds a threshold, the motion parameters and position of the flying target are sent to the control center, so that the control center can select an image sensor in a different location whose distance to the flying target does not exceed the threshold.

4. The communication perception method according to claim 2, wherein: The step of selecting a local or remote image sensor of the base station according to the motion parameters and position of the flying target includes: When the distance between the flying target and the base station does not exceed a threshold, the image data of the flying target is collected by using a local image sensor.

5. The communication perception method according to claim 1, further comprising: In case the communication link is not established successfully, selecting a local or remote image sensor of the base station according to the motion parameters and position of the flying target; When a local image sensor is selected to collect image data of the flying target, the image data of the flying target is sent to a control center, so that the control center can determine whether the flying target is an illegal drone or other flying object based on the image data.

6. The communication perception method according to claim 1, wherein: Determining the category of the flying target according to the motion parameters, position and communication data of the flying target includes: Obtaining a flight plan of the flight target; When the state parameters and the position of the flight target conform to the flight plan, it is determined that the flight target is a legal UAV.

7. The communication perception method according to claim 6, wherein: Determining the category of the flying target according to the motion parameters, position and communication data of the flying target includes: When the state parameters of the flight target do not conform to the flight plan, it is determined that the flight target is an illegal UAV.

8. The communication perception method according to claim 6, wherein: The communication data includes an identification of the flight target, and the step of obtaining a flight plan of the flight target includes: Sending the identification of the flight target to a control center; Receive the flight plan of the flight target sent by the control center according to the identifier.

9. The communication perception method according to claim 1, wherein: The receiving the sensing data corresponding to the flight target includes: Sending perception signals; A perception signal reflected by the flying target is received to obtain the perception data.

10. A base station, comprising: A receiving module configured to receive sensing data corresponding to a flight target; a parameter determination module, configured to determine the motion parameters and position of the flying target according to the sensing data; A link establishment module, configured to initiate a communication link establishment process to the flight target; a communication module, configured to communicate with the flight target and obtain communication data if the communication link is successfully established; The determination module is configured to determine the category of the flying target according to the motion parameters, position and communication data of the flying target.

11. An electronic device, comprising: Memory; as well as A processor coupled to the memory, wherein the processor is configured to execute the communication awareness method according to any one of claims 1 to 9 based on instructions stored in the memory.

12. A computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implements the communication perception method according to any one of claims 1 to 9.

13. A computer program product, comprising computer program instructions, which, when executed by a processor, implement the communication perception method according to any one of claims 1 to 9.

14. A communication sensing system, comprising: The base station according to claim 10; as well as Control center.

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