Communication-aware method, base station, computer-readable storage medium

Abstract

The present disclosure relates to a communication awareness method, a base station and a computer readable storage medium, and relates to the technical field of communication. The communication awareness method is applied to a base station and comprises the following steps: receiving awareness data corresponding to a flight target; determining a motion parameter and a position of the flight target according to the awareness data; initiating an establishment process of a communication link to the flight target; in the case that the establishment of the communication link is successful, communicating with the flight target to obtain communication data; and determining a category of the flight target according to the motion parameter, the position and the communication data of the flight target.

Description

TECHNICAL FIELD

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

[0002] With the rapid development of low-altitude economy, emerging business scenarios such as unmanned aerial vehicle delivery, aerial taxis, and intelligent city monitoring are constantly emerging. In order to ensure the safety of unmanned aerial vehicle operations in these application scenarios, not only stable and reliable basic communication capabilities need to be provided for low-altitude unmanned aerial vehicles, but also advanced sensing and identification capabilities need to be provided.

[0003] The 6G wireless communication system introduces an integrated sensing and communication (ISAC) technology, which can simultaneously realize communication and sensing functions under the same network architecture. SUMMARY

[0004] According to a first aspect of the present disclosure, a communication and sensing method applied to a base station includes: receiving sensing data corresponding to a flight target; determining a motion parameter and a position of the flight target according to the sensing data; initiating a communication link establishment process to the flight target; in the case that the communication link establishment is successful, communicating with the flight target to obtain communication data; and determining a category of the flight target according to the motion parameter, the position, and the communication data of the flight target.

[0005] In some embodiments, the communication and sensing method further includes: in the case that the communication link establishment is unsuccessful, selecting an image sensor locally or remotely from the base station according to the motion parameter and the position of the flight target; and determining that the flight target is an illegal unmanned aerial vehicle or other flying object according to image data of the flight target collected by the selected image sensor.

[0006] In some embodiments, selecting the image sensor locally or remotely from the base station according to the motion parameter and the position of the flight target includes: in the case that a distance between the flight target and the base station exceeds a threshold value, sending the motion parameter and the position of the flight target to a control center, for the control center to select an image sensor remotely from the flight target and having a distance not exceeding the threshold value.

[0007] In some embodiments, selecting the image sensor locally or remotely from the base station according to the motion parameter and the position of the flight target includes: in the case that the distance between the flight target and the base station does not exceed the threshold value, collecting image data of the flight target by using a local image sensor.

[0008] In some embodiments, the communication awareness method further comprises: in case that the communication link establishment is unsuccessful, selecting a local or remote image sensor of the base station according to the motion parameter and the position of the flight target; in case that the local image sensor is selected to collect image data of the flight target, sending the image data of the flight target to the control center, so that the control center determines whether the flight target is an illegal unmanned aerial vehicle or other flying object according to the image data.

[0009] In some embodiments, determining the category of the flight target according to the motion parameter, the position and the communication data of the flight target comprises: obtaining a flight plan of the flight target; in case that the state parameter and the position of the flight target conform to the flight plan, determining that the flight target is a legal unmanned aerial vehicle.

[0010] In some embodiments, determining the category of the flight target according to the motion parameter, the position and the communication data of the flight target comprises: in case that the state parameter of the flight target does not conform to the flight plan, determining that the flight target is an illegal unmanned aerial vehicle.

[0011] In some embodiments, the communication data comprises an identification of the flight target, and obtaining the flight plan of the flight target comprises: sending the identification of the flight target to the 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 the awareness data corresponding to the flight target comprises: sending an awareness signal; and receiving the awareness signal reflected by the flight target to obtain the awareness data.

[0013] According to a second aspect of the present disclosure, a base station is provided, comprising: a receiving module configured to receive awareness data corresponding to a flight target; a parameter determining module configured to determine a motion parameter and a position of the flight target according to the awareness data; a link establishing module configured to initiate a communication link establishment process to the flight target; a communication module configured to communicate with the flight target to obtain communication data in case that the communication link establishment is successful; and a determining module configured to determine a category of the flight target according to the motion parameter, the position and the communication data of the flight target.

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

[0015] a memory; and

[0016] a processor coupled to the memory, the processor being configured to execute a 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, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a communication awareness method according to some embodiments of the present disclosure.

[0018] According to a fifth aspect of the present disclosure, there is provided a computer program product comprising computer program instructions which, when executed by a processor, implement a communication awareness 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 comprising:

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

[0021] The accompanying drawings, which form 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 can be more clearly understood with reference to the following detailed description together with the accompanying drawings in which:

[0023] Figure 1 a flowchart illustrating a communication awareness method according to some embodiments of the present disclosure;

[0024] Figure 2 a schematic diagram illustrating identification of a flying object according to some embodiments of the present disclosure;

[0025] Figure 3 an interaction diagram illustrating identification of a drone according to some embodiments of the present disclosure;

[0026] Figure 4 an interaction diagram illustrating identification of an illegal drone according to some embodiments of the present disclosure;

[0027] Figure 5 an interaction diagram illustrating identification of an illegal drone according to some other embodiments of the present disclosure;

[0028] Figure 6 an interaction diagram illustrating identification of an illegal drone according to some other embodiments of the present disclosure;

[0029] Figure 7 an interaction diagram illustrating identification of an illegal drone according to some other embodiments of the present disclosure;

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

[0031] Figure 9 a block diagram illustrating an electronic device according to some other embodiments of the present disclosure;

[0032] Figure 10 A block diagram of a computer system for implementing some embodiments of the present disclosure is shown.

[0033] Figure 11 An architectural diagram of a communication sensing 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. Note that the relative arrangement, numerical expressions, and numerical values of components and steps set forth in these embodiments are not limiting to the scope of the present disclosure unless specifically stated otherwise.

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

[0036] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way limiting to the scope of the disclosure and its applications or uses.

[0037] Techniques, methods, and devices known to those of ordinary skill in the relevant art can not be discussed in detail herein, but should be considered as part of the description if appropriate.

[0038] In all examples shown and discussed herein, any specific values should be interpreted as merely illustrative and not as a limitation. Thus, other examples of the exemplary embodiments can have different values.

[0039] Note that similar reference numerals and letters refer to like items in the following drawings, and thus, once an item is defined in one drawing, it need not be discussed further in subsequent drawings.

[0040] In the related art, radar networking is used to perceive low-altitude targets, which is low in efficiency and high in construction cost. The present disclosure provides a communication sensing method, a base station, and a computer readable storage medium, which effectively identifies low-altitude flying targets by using the sensing and communication capabilities of a communication-sensing integrated network.

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

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

[0043] In step S1, sensing data corresponding to a flying target is received.

[0044] In some embodiments, receiving the perception data corresponding to the flight target comprises: sending a perception signal; and receiving the perception signal reflected by the flight target to obtain the perception data. The perception reference signal of the base station can be various, such as a linear frequency modulation (LFM) or an orthogonal frequency-division multiplexing (OFDM) continuous wave.

[0045] The base station can be triggered to send the perception signal by an event. For example, the base station can be triggered to send the perception signal by a control center or by another base station. The base station can also be triggered to send the perception signal by a legal drone establishing a communication link with the base station.

[0046] The base station can also be triggered to send the perception signal periodically, i.e., at regular intervals.

[0047] The base station analyzes the perception signal, i.e., the base station continuously receives the signal and processes the signal to obtain the perception data within a certain period of time after the base station sends the perception signal.

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

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

[0050] In step S3, the base station initiates a process of establishing a communication link with the flight target. For example, when the base station perceives a new flight target based on the perception data, the base station attempts to establish a communication link with the target. If the target is a drone, the base station can also attempt to establish a communication link with the flight target if the base station receives a broadcast signal from the drone.

[0051] The base station establishes the communication link in the following manner, for example: first, the base station sends a communication reference signal to the flight target; if the flight target receives the reference signal, the flight target can feed back an indication signal of the establishment of the communication link; if the base station receives the indication signal fed back by the target, the base station establishes the communication link; and if the base station does not receive the indication signal fed back by the target within a specified time, the base station determines that the communication link cannot be established.

[0052] In step S4, the base station communicates with the flight target to obtain communication data if the communication link is successfully established. The communication data can include information of the flight target, for example.

[0053] When the base station establishes the communication link with the flight target, the identity and the state of the networked perception flight target can be confirmed.

[0054] In step S5, the category of the flight target is determined according to the motion parameters, position and communication data of the flight target. For example, by comparing the motion parameters, position and other perception data of the flight target with the communication data, it is determined whether the flight target is a legal unmanned aerial vehicle. The legal unmanned aerial vehicle is, for example, a legal unmanned aerial vehicle, that is, an unmanned aerial vehicle that has completed network registration and flies along a prescribed route. The illegal unmanned aerial vehicle is, for example, an unmanned aerial vehicle that has not completed network registration and an unmanned aerial vehicle that has completed network registration but does not fly along a prescribed route.

[0055] In some embodiments, according to the perception data and the communication data, the category of the flight target is determined, including: obtaining the flight plan of the flight target; and in the case that the state parameters and the position of the flight target meet the flight plan, determining that the flight target is a legal unmanned aerial vehicle.

[0056] For example, the base station can obtain the remote ID of the flight target and the flight plan of the flight target through communication. If the flight plan of the flight target is consistent with the state parameters and the position of the flight target perceived by the base station, the flight target is considered to be a legal unmanned aerial vehicle.

[0057] In some embodiments, according to the motion parameters, position and communication data of the flight target, the category of the flight target is determined, including: in the case that the state parameters of the flight target do not meet the flight plan, determining that the flight target is an illegal unmanned aerial vehicle.

[0058] In some embodiments, the communication data includes the identification of the flight target, and the flight plan of the flight target is obtained by: 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. For example, the control center can formulate the flight plan of the network-connected unmanned aerial vehicle and then issue it to the unmanned aerial vehicle. In addition, the control center issues the flight plan to the base station.

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

[0060] In some embodiments, the communication perception method further includes: in the case that the communication link establishment is unsuccessful, selecting an image sensor locally or remotely from the base station according to the motion parameters and the position of the flight target; and determining that the flight target is an illegal unmanned aerial vehicle or other flying object according to the image data of the flight target collected by the selected image sensor.

[0061] The image sensor is, for example, a camera. The camera can have information processing capability or be connected to a device capable of machine learning and completing classification tasks. Using the camera, the perception target can be photographed, and the photographed data can be analyzed using image processing technology to determine whether the target is a bird or an unmanned aerial vehicle and report it.

[0062] For example, if the perception base station cannot establish a communication link with the flight target, the flight target is considered not to be a legal drone. Meanwhile, it is still possible to further confirm the type of the perceived flight target, which is an illegal drone or other flying objects (e.g., birds, kites). By combining the perception integration and image processing technologies, the rapid perception and identification of legal drones, illegal drones, and other flying objects (birds, kites) are achieved.

[0063] In some embodiments, according to the motion parameters and position of the flight target, the image sensor of the base station is selected locally or remotely, including: in the case that the distance between the flight target and the base station exceeds the threshold, the motion parameters and position of the flight target are sent to the control center for the control center to select the image sensor remotely from the flight target with a distance not exceeding the threshold.

[0064] For example, when the distance between the flight target and the base station is greater than a given threshold d, the perception base station determines that a remote camera or other base station camera is needed to take a picture of the flight target, and the position and motion parameters of the perceived flight target are reported to the control center.

[0065] The control center can maintain a data table of the perception base station and the camera distribution, including the number and position distribution information of each perception base station and camera. The control center can filter the remote camera position and number close to the flight target by looking up the table, and start the camera close to the perceived flight target to identify the flight target.

[0066] In some embodiments, in the case that the distance between the flight target and the base station does not exceed the threshold, the image data of the flight target is collected by the local image sensor. For example, if the distance between the flight target and the base station is less than or equal to a given threshold d, the local camera of the base station is started to participate in identification.

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

[0068] In some embodiments, the communication perception method further comprises: in the case that the communication link establishment is unsuccessful, selecting the image sensor of the base station locally or remotely according to the motion parameters and position of the flight target; in the case of selecting the local image sensor to collect the image data of the flight target, sending the image data of the flight target to the control center for the control center to determine whether the flight target is an illegal drone or other flying object according to the image data.

[0069] For example, if the camera is a local camera, the target can also be identified by the local base station, and the identification result is reported to the control center. If the camera is a camera of another base station, the target can also be identified by the other base station, and the identification result is reported to the control center.

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

[0071] After receiving the shooting data of the sensing device and the camera, the control center can comprehensively analyze the final perception result by combining the shooting data of the camera and the perception data of the sensing device. For example, the sensing base station reports the position, distance, flight speed, flight direction of the perceived target, and also reports the identifier of the non-networked target; the camera reports the camera data of the flight target. After processing by the control center, the conclusion is obtained: there is an illegal unmanned aerial vehicle / bird / kite flying at Y (distance, height) with a flight speed of V in the direction of W at X.

[0072] According to the communication perception method of some embodiments of the present disclosure, the comprehensive analysis of the perception data (motion parameters, position) and communication data of the flight target can realize effective monitoring of low-altitude flying unmanned aerial vehicles, timely identification of flight abnormalities or illegal intrusion of unmanned aerial vehicles, and improvement of airspace safety.

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

[0074] As shown in Figure 2 , in the case of being able to establish a communication link, the base station or the control center can compare whether the flight plan and the perception result are the same. For example, the flight plan of the unmanned aerial vehicle with the number (remoteID) 1 is to fly to the Y location at X minutes at X, and the perception result is that an unmanned aerial vehicle is perceived at Y location at X minutes at X. Then, the base station confirms that the number (remoteID) of the unmanned aerial vehicle is 1, which is the same as the flight plan, so it is a legal unmanned aerial vehicle. If the perception result is not the same as the flight plan, it is an illegal unmanned aerial vehicle. In the case of being unable to establish a communication link, the camera is started, and image recognition is performed to determine whether the target is an unmanned aerial vehicle or other flying objects. If the target is an unmanned aerial vehicle, but the unmanned aerial vehicle is not networked, it is determined to be an illegal unmanned aerial vehicle.

[0075] Figure 3 An interaction diagram of identifying an unmanned aerial vehicle according to some embodiments of the present disclosure is shown.

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

[0077] In event 101, the sensing function of the Sensing Base Station can be triggered by the connected drone, triggered by the control center, or triggered periodically by the Sensing Base Station. That is, the Sensing Base Station can be triggered by the connected drone broadcasting identity information to the Sensing Base Station, or triggered by the control center sending a sensing instruction to the Sensing Base Station to perform sensing. In addition, the control center can also send a flight plan to the Sensing Base Station.

[0078] In event 102, the Sensing Base Station sends a sensing signal to the connected drone.

[0079] In event 103, the Sensing Base Station receives the reflected sensing signal.

[0080] In event 104, the Sensing Base Station analyzes the sensing data, such as the position, distance, flight speed, and flight direction of the flight target.

[0081] In event 105, the Sensing Base Station sends a communication reference signal to the connected drone.

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

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

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

[0085] In event 109, the Sensing Base Station compares the sensing data with the information reported by the connected drone to determine whether the connected drone is a legal drone. The Sensing Base Station can also compare the sensing data with the flight plan of the connected drone to determine whether the connected drone is a legal drone.

[0086] In event 110, the Sensing Base Station reports the sensing result to the control center.

[0087] Figure 4 An interaction diagram for identifying an illegal drone according to some embodiments of the present disclosure is shown.

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

[0089] In event 201, the control center sends a sensing instruction to the Sensing Base Station.

[0090] In event 202, the Sensing Base Station sends a sensing signal to the flight target.

[0091] In event 203, the Sensing Base Station receives the reflected sensing signal.

[0092] In event 204, the Sensing Base Station analyzes the sensing data to obtain the position, distance, flight speed, and flight direction.

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

[0094] In event 206, the sensing base station starts a local camera.

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

[0096] In event 208, the control center analyzes the sensing result and confirms whether it is an illegal UAV or other flying object.

[0097] Figure 5 An interaction diagram for identifying an illegal UAV according to some other embodiments of the present disclosure is shown.

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

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

[0100] In event 302, the sensing base station sends a sensing signal to the flying target.

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

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

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

[0104] In event 306, the sensing base station starts a local camera.

[0105] In event 307, the sensing base station comprehensively analyzes the sensing data and the result of image recognition of the flying target to obtain a sensing result and confirm whether it is an illegal UAV or other flying object.

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

[0107] Figure 6 An interaction diagram for identifying an illegal UAV according to some other embodiments of the present disclosure is shown.

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

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

[0110] In event 402, the sensing base station sends a sensing signal to the flying target.

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

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

[0113] In event 405, the sensing base station sends a communication reference signal, and a communication connection is not successfully established.

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

[0115] In event 407, the control center screens the remote camera 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 the sensing data to obtain a sensing result and determine whether the flying target is a non-networked unmanned aerial vehicle or other flying object.

[0118] Figure 7 An interaction diagram for identifying an illegal unmanned aerial vehicle according to further embodiments of the present disclosure is shown.

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

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

[0121] In event 502, the sensing base station sends a sensing signal to the flying target.

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

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

[0124] In event 505, the sensing base station sends a communication reference signal, and a communication connection is not successfully established.

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

[0126] In event 507, the sensing base station starts the remote camera.

[0127] In event 508, the image processing unit associated with the remote camera of the sensing base station completes the flying target identification.

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

[0129] In event 510, the control center comprehensively analyzes the perception data and the image recognition result, and determines whether the flight target is a non-networked unmanned aerial vehicle 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] As shown in Figure 8 , the base station 8 comprises a receiving module 81, a parameter determining module 82, a link establishing module 83, a communicating module 84, and a determining module 85.

[0132] The receiving module 81 is configured to receive perception data corresponding to the flight target, for example, by performing step S1 as shown in Figure 1 .

[0133] The parameter determining module 82 is configured to determine the motion parameters and the position of the flight target according to the perception data, for example, by performing step S2 as shown in Figure 1 .

[0134] The link establishing module 83 is configured to initiate a procedure of establishing a communication link with the flight target, for example, by performing step S3 as shown in Figure 1 .

[0135] The communicating module 84 is configured to communicate with the flight target to obtain communication data in the case that the communication link is successfully established, for example, by performing step S4 as shown in Figure 1 .

[0136] The determining module 85 is configured to determine the category of the flight target according to the motion parameters, the position, and the communication data of the flight target, for example, by performing step S5 as shown in Figure 1 .

[0137] In some embodiments, the determining module 85 is further configured to, in the case that the communication link is not successfully established, select an image sensor locally or remotely to the base station according to the motion parameters and the position of the flight target; and determine whether the flight target is an illegal unmanned aerial vehicle or other flying object according to image data of the flight target collected by the selected image sensor.

[0138] In some embodiments, the determining module 85 is further configured to, in the case that the distance between the flight target and the base station exceeds a threshold, send the motion parameters and the position of the flight target to a control center, for the control center to select an image sensor remotely to the flight target and having a distance not exceeding the threshold to the flight target.

[0139] In some embodiments, the determining module 85 is further configured to, in the case that the distance between the flight target and the base station does not exceed the threshold, collect image data of the flight target by using a local image sensor.

[0140] In some embodiments, the determining module 85 is further configured to: in case that the communication link establishment is unsuccessful, select a local or remote image sensor of the base station according to the motion parameter and the position of the flight target; in case that the local image sensor is selected to collect the image data of the flight target, send the image data of the flight target to the control center, for the control center to determine that the flight target is an illegal unmanned aerial vehicle or other flying object according to the image data.

[0141] In some embodiments, the determining module 85 is further configured to: acquire a flight plan of the flight target; in case that the state parameter and the position of the flight target conform to the flight plan, determine that the flight target is a legal unmanned aerial vehicle.

[0142] In some embodiments, the determining module 85 is further configured to: in case that the state parameter of the flight target does not conform to the flight plan, determine that the flight target is an illegal unmanned aerial vehicle.

[0143] In some embodiments, the determining module 85 is further configured to: send the identification of the flight target to the control center; 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 the sensing signal; receive the sensing signal reflected by the flight target to obtain the sensing data.

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

[0146] As shown in Figure 9 , the electronic device 9 includes a memory 91 and a processor 92 coupled to the memory 91, the memory 91 being configured to store instructions for performing the communication sensing method. The processor 92 is configured to perform the communication sensing method in any of some embodiments of the present disclosure based on the instructions stored in the memory 91.

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

[0148] As shown in Figure 10 , the computer system 100 can be in the form of a general-purpose computing device. The computer system 100 includes a memory 1010, a processor 1020 and a bus 1000 connecting different system components.

[0149] The memory 1010 can include, for example, system memory, non-volatile memory, and the like. The system memory stores, for example, an operating system, application programs, a Boot Loader, and other programs. The system memory can include volatile memory, such as random access memory (RAM) and / or cache memory. The non-volatile memory stores, for example, instructions for performing the communication-aware method in any of the embodiments of the present disclosure. The non-volatile memory includes, but is not limited to, magnetic disk storage, optical disk storage, flash memory, and the like.

[0150] The processor 1020 can be implemented with 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 device, discrete gates or transistor logic, and the like discrete hardware components. Accordingly, each of the modules such as the determining module and the judging module can be implemented by a central processing unit (CPU) running instructions in the memory for performing corresponding steps, or by a dedicated circuit for performing corresponding steps.

[0151] The bus 1000 can use any of a variety of bus structures. For example, the bus structure includes, but is not limited to, an industry standard architecture (ISA) bus, a microchannel architecture (MCA) bus, a peripheral component interconnect (PCI) bus.

[0152] The computer system 100 can further include an input / output interface 1030, a network interface 1040, a storage interface 1050, and the like. These interfaces 1030, 1040, 1050, and the memory 1010 and the processor 1020 can be connected through the bus 1000. The input / output interface 1030 can provide a connection interface for display, mouse, keyboard, and the like input / output devices. The network interface 1040 provides a connection interface for various networking devices. The storage interface 1050 provides a connection interface for external storage devices such as floppy disks, U disks, SD cards, and the like.

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

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

[0155] As shown in Figure 11 The base station is aware of the flight target, and can report the awareness data to the control center.

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

[0157] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart block or blocks or in the block or blocks of the block diagrams.

[0158] These computer readable program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operations to be performed on the computer or other programmable data processing apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable data processing apparatus implement the functions specified in the flowchart block or blocks or in the block or blocks of the block diagrams.

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

[0160] Thus far, the communication awareness method, the base station, and the computer readable storage medium according to the present disclosure have been described in detail. In order to avoid obscuring the ideas of the present disclosure, some details well-known in the art are not described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein according to the above description.

Claims

1. A communication sensing method, applied to a base station, comprising: Receiving sensing data corresponding to a flight target includes: sending a sensing signal, receiving a sensing signal reflected by the flight target, and obtaining the sensing data; Based on the sensed data, the motion parameters and position of the flight target are determined; The process of initiating the establishment of a communication link with the flight target includes: sending a communication reference signal to the flight target; if an indication signal is received from the flight target, the communication link is established; if no indication signal is received from the flight target within a specified time, it is determined that the communication link cannot be established. If the communication link is successfully established, communication is established with the flight target to obtain communication data; Based on the flight target's motion parameters, position, and communication data, the category of the flight target is determined, including: obtaining the flight plan of the flight target; and if the flight target's state parameters and position conform to the flight plan, determining that the flight target is a legitimate unmanned aerial vehicle (UAV). If the communication link fails to be established, the image sensor located at the base station or in a remote location is selected based on the motion parameters and position of the flight target. When selecting a local image sensor to acquire image data of the flying target, the image data of the flying target is sent to the control center, so that the control center can determine the flying target as an illegal drone or other flying object based on the image data.

2. The communication sensing method according to claim 1, wherein, The step of selecting the local or remote image sensor of the base station based on the motion parameters and position of the flying target includes: If the distance between the flight target and the base station exceeds a threshold, the motion parameters and position of the flight target are sent to the control center, so that the control center can select an image sensor in a different location whose distance from the flight target does not exceed the threshold.

3. The communication sensing method according to claim 1, wherein, The step of selecting the local or remote image sensor of the base station based on the motion parameters and position of the flying target includes: If the distance between the flight target and the base station does not exceed a threshold, image data of the flight target is acquired using a local image sensor.

4. The communication sensing method according to claim 1, wherein, The step of determining the category of the flight target based on its motion parameters, position, and communication data includes: If the status parameters of the flight target do not conform to the flight plan, the flight target is determined to be an illegal drone.

5. The communication sensing method according to claim 1, wherein, The communication data includes the identifier of the flight target, and the acquisition of the flight plan of the flight target includes: The identifier of the flight target is sent to the control center; Receive the flight plan of the flight target sent by the control center based on the identifier.

6. A base station, comprising: The receiving module is configured to receive sensing data corresponding to a flight target, wherein it transmits a sensing signal, receives a sensing signal reflected by the flight target, and obtains the sensing data. The parameter determination module is configured to determine the motion parameters and position of the flying target based on the sensed data; The link establishment module is configured to initiate a communication link establishment process to the flight target, wherein a communication reference signal is sent to the flight target, and if an indication signal is received from the flight target, the communication link is established; if no indication signal is received from the flight target within a specified time, it is determined that the communication link cannot be established. The communication module is configured to communicate with the flight target and obtain communication data when the communication link is successfully established; The determination module is configured to determine the category of the flight target based on its motion parameters, position, and communication data. Specifically, it acquires the flight plan of the flight target and determines that the flight target is a legitimate unmanned aerial vehicle (UAV) if the flight target's state parameters and position conform to the flight plan. Furthermore, it is configured to, if the communication link fails to establish, select a local or remote image sensor from the base station based on the flight target's motion parameters and position. If a local image sensor is selected to acquire image data of the flight target, the image data is sent to a control center for the control center to determine that the flight target is an illegal UAV or other flying object based on the image data.

7. An electronic device, comprising: Memory; as well as A processor coupled to the memory, the processor being configured to execute the communication sensing method according to any one of claims 1 to 5 based on instructions stored in the memory.

8. A computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the communication sensing method according to any one of claims 1 to 5.

9. A computer program product comprising computer program instructions that, when executed by a processor, implement the communication sensing method according to any one of claims 1 to 5.

10. A communication sensing system, comprising: The base station according to claim 6; as well as Control center.

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