CN-122028140-A - Ext> unmannedext> aerialext> vehicleext> -ext> orientedext> 5ext> Gext> -ext> Aext> senseext> fusionext> accessext> networkingext> systemext>,ext> methodext> andext> baseext> stationext>

CN122028140ACN 122028140 ACN122028140 ACN 122028140ACN-122028140-A

Abstract

The invention provides an unmanned aerial vehicle-oriented 5G-A sense fusion access networking system and method, a base station, electronic equipment, a storage medium and a program product, so as to solve the problems of separation of unmanned aerial vehicle network communication and sensing functions and low efficiency, wherein the system comprises a sense fusion access network, a core network and a low-altitude supervision application platform; an access network comprising a plurality of first base stations and second base stations deployed in a target airspace; the first base station works in a first frequency band to execute a general sense integrated function, and the second base station works in a second frequency band to execute a high-speed data communication function; the network element of the perception control function in the core network is used for registering, managing and task scheduling of perception capability; the network element of the perception processing function is used for converging and processing the perception data of the first base station to generate a perception result; the sensing gateway network element is deployed in the isolation domain, authentication is carried out on the access of the low-altitude supervision application platform, and the sensing result is opened to the platform. The method and the device realize integration of data transmission and real-time sensing and positioning.

Inventors

WANG QUNQING
LIU HONGJIA
Meng Yakui
CHEN LE
XU LINFENG
LIN JUNFAN
ZHOU DAOU
GAO ZE

Assignees

中国联合网络通信集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260304

Claims (12)

1. Ext> theext> utilityext> modelext> providesext> aext> 5ext> Gext> -ext> Aext> senseext> fusionext> accessext> networkingext> systemext> towardsext> unmannedext> aerialext> vehicleext> whichext> characterizedext> inext> thatext>,ext> theext> systemext> includesext>:ext> The system comprises a sense fusion access network, a core network and a low-altitude supervision application platform; The sense fusion access network comprises a plurality of first base stations and a plurality of second base stations, wherein the first base stations and the second base stations are deployed on the ground side of a target airspace, the first base stations work in a first frequency band and are configured to execute a sense integration function facing an unmanned aerial vehicle so as to simultaneously perform target sensing and receiving and transmitting of communication data, and the second base stations work in a second frequency band and are configured to execute a high-speed data communication function facing the unmanned aerial vehicle; The core network comprises a sensing control function network element, a sensing processing function network element and a sensing gateway network element, wherein the sensing control function network element is used for registering, managing and task scheduling sensing capability, the sensing processing function network element is used for converging and processing sensing data from the first base station to generate a sensing result, and the sensing gateway network element is deployed in an isolation domain and used for authenticating and authenticating access of the low-altitude supervision application platform and opening the sensing result to the low-altitude supervision application platform; The low-altitude supervision application platform is used for monitoring and managing the unmanned aerial vehicle based on the perception result.
2. The system of claim 1, wherein the first frequency band is a millimeter wave frequency band, the frequency band is a 26GHz frequency band, the second frequency band is a Sub-6GHz frequency band, and the frequency band is a 3.5GHz frequency band.
3. The system of claim 1, wherein the first base station employs a master base station unit-slave base station unit architecture; The master base station unit is connected with the core network and is used for carrying out centralized management and data fusion on a plurality of slave base station units; The slave base station unit comprises a sensing board card and a baseband board card, and is respectively used for processing sensing signals and communication signals.
4. The system of claim 1, wherein the perception control function network element adopts a centralized clouding deployment, and the perception processing function network element adopts an integrated device form and supports centralized or submerged deployment.
5. The system of claim 1, further comprising an intelligent networking terminal connected to the drone; The intelligent network connection terminal comprises a plurality of functional modules, wherein the functional modules comprise a first communication module adapting to a specific brand unmanned aerial vehicle, a second communication module adapting to a non-specific brand unmanned aerial vehicle, a third communication module integrating edge calculation and satellite communication functions and a fourth supervision module with long-term self-power supply and positioning functions; The first communication module is used for presetting a first calculation force and supporting the calculation of a lightweight artificial intelligence task of the unmanned aerial vehicle, and the third communication module is used for presetting a second calculation force higher than the first calculation force and supporting the superposition of video image information and an automatic early warning task.
6. The system of claim 1, wherein the first base station is deployed with a spacing of 500-1000m, an antenna hanging height of 25 meters or more and no shielding, and is deployed by cellular networking; the distance between deployment stations of the second base station is 2-3km in urban areas, 3-5km in suburban areas, the antenna hanging height is more than 25 meters, and cellular networking deployment is adopted; the second base station satisfies that the uplink speed is not lower than 25Mbps and the downlink speed is not lower than 100Mbps in the communication capability; The first base station satisfies the requirements of unmanned aerial vehicle target identification with RCS >0.01m2 and speed 5-100 km/h in a height range of 300 m in terms of perception capability, the false alarm rate is <5%, the detection rate is >95%, the target positioning error is less than 20 m in a 1000 m networking environment of the inter-station distance, and the target positioning error is less than 10 m in a 500 m networking environment of the first base station.
7. A sense-all-in-one base station for use in the system of any one of claims 1-6, operating in the millimeter wave band, comprising: The large-scale antenna array is used for receiving and transmitting wireless signals integrating communication and perception; the radio frequency front end is connected with the large-scale antenna array and is configured to rapidly switch between a communication time slot and a sensing detection time slot; The base band processing unit adopts a master-slave architecture, wherein the master base band unit is used for interacting with a core network and carrying out fusion processing on multi-station sensing data, and the slave base band unit comprises an independent sensing board card and a base band board card which are respectively used for processing sensing echo signals and communication data signals.
8. Ext> anext> unmannedext> aerialext> vehicleext> -ext> orientedext> 5ext> Gext> -ext> aext> sensoryext> fusionext> accessext> networkingext> methodext> basedext> onext> theext> systemext> ofext> anyext> oneext> ofext> claimsext> 1ext> -ext> 6ext>,ext> comprisingext>:ext> The perception control function network element receives the perception capability information reported by the first base station and registers to the low-altitude supervision application platform; The sensing gateway network element authenticates the sensing service request from the low-altitude supervision application platform; After passing the authentication, the perception control function network element issues a perception task to at least one selected first base station according to the perception service request; The first base station executes a perception task, acquires perception original data and reports the perception original data to the perception processing function network element; And the perception processing functional network element processes the perception original data to obtain a perception result containing the type, the position and the speed of the unmanned aerial vehicle, and returns to the low-altitude supervision application platform through the perception gateway network element.
9. The method according to claim 8, wherein the sensing control function network element issues a sensing task to the selected at least one first base station according to the sensing service request, including: The sensing service request comprises sensing detection type, detection range, accuracy and refresh rate requirements; and the perception control function network element selects one or more first base stations meeting the perception capability to issue tasks according to the requirements.
10. An electronic device, comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, Ext> theext> memoryext> storesext> oneext> orext> moreext> computerext> programsext> executableext> byext> theext> atext> leastext> oneext> processorext> toext> enableext> theext> atext> leastext> oneext> processorext> toext> performext> theext> unmannedext> -ext> orientedext> 5ext> Gext> -ext> aext> sensoryext> fusionext> accessext> networkingext> methodext> ofext> anyext> ofext> claimsext> 8ext> -ext> 9ext>.ext>
11. Ext> aext> computerext> readableext> storageext> mediumext>,ext> onext> whichext> aext> computerext> programext> isext> storedext>,ext> characterizedext> inext> thatext> theext> computerext> programext>,ext> whenext> beingext> executedext> byext> aext> processorext>,ext> implementsext> theext> unmannedext> orientedext> 5ext> Gext> -ext> aext> sensoryext> fusionext> accessext> networkingext> methodext> accordingext> toext> anyext> oneext> ofext> claimsext> 8ext> -ext> 9ext>.ext>
12. Ext> aext> computerext> programext> productext> comprisingext> computerext> readableext> codeext>,ext> orext> aext> nonext> -ext> transitoryext> computerext> readableext> storageext> mediumext> carryingext> computerext> readableext> codeext>,ext> whichext> whenext> runext> inext> aext> processorext> ofext> anext> electronicext> deviceext>,ext> performsext> theext> unmannedext> orientedext> 5ext> Gext> -ext> aext> sensoryext> fusionext> accessext> networkingext> methodext> accordingext> toext> anyext> oneext> ofext> claimsext> 8ext> -ext> 9ext>.ext>

Description

Ext> unmannedext> aerialext> vehicleext> -ext> orientedext> 5ext> Gext> -ext> Aext> senseext> fusionext> accessext> networkingext> systemext>,ext> methodext> andext> baseext> stationext> Technical Field Ext> theext> disclosureext> relatesext> toext> theext> technicalext> fieldext> ofext> wirelessext> communicationext>,ext> inext> particularext> toext> aext> 5ext> Gext> -ext> Aext> senseext> fusionext> accessext> networkingext> systemext> andext> methodext> forext> anext> unmannedext> aerialext> vehicleext>,ext> aext> senseext> integratedext> baseext> stationext>,ext> electronicext> equipmentext>,ext> aext> computerext> readableext> storageext> mediumext> andext> aext> computerext> programext> productext>.ext> Background Along with the rapid development of unmanned aerial vehicle technology, the unmanned aerial vehicle is increasingly widely applied to the fields of logistics, inspection, security, agriculture and the like. In order to ensure the safety, high efficiency and manageability of unmanned aerial vehicle operation, a network system is required to simultaneously provide high-reliability low-delay communication capability and high-precision real-time target perception capability. The existing low-altitude unmanned aerial vehicle networking scheme mainly has two problems, namely a scheme focusing on communication guarantee, for example, a mobile vehicle is used for carrying a temporary 5G base station to provide communication service for unmanned aerial vehicle clusters. The scheme improves the communication quality, but lacks active sensing and positioning capability to targets such as non-cooperative unmanned aerial vehicles, has single system function, and is difficult to meet the continuous wide-area supervision requirement in a temporary deployment mode. Another class of schemes attempts to incorporate sensing functionality, e.g., loosely coupled with the communication network through a separately deployed radar system, or to allocate portions of the resources in the communication network for sensing. However, these schemes generally face the problems of low resource utilization, high hardware cost, complex cooperative processing, etc. caused by the separation of the communication and the sensing system. Particularly, the depth and real-time fusion of the perception information and the communication data are difficult to realize by a discrete system, and the dual requirements of 'seeing clearly' (high-definition video return) and 'seeing accurately' (high-precision positioning tracking) of the unmanned aerial vehicle can not be simultaneously met by optimal system resources in a complex low-altitude dynamic environment. Therefore, how to design a network system which can deeply integrate communication and perception functions, realize efficient multiplexing of resources and flexible cooperation of systems, and simultaneously provide high-quality communication and high-precision perception services for unmanned aerial vehicles becomes a key technical problem to be solved in the current low-altitude economic development. Disclosure of Invention The method aims at least to solve the technical problems that in the prior art, communication and sensing functions are separated and cannot work cooperatively in the existing low-altitude unmanned aerial vehicle network, so that the overall efficiency of the system is low and resources are wasted. Ext> theext> disclosureext> providesext> aext> 5ext> Gext> -ext> Aext> senseext> fusionext> accessext> networkingext> methodext> andext> systemext> forext> anext> unmannedext> aerialext> vehicleext>,ext> aext> senseext> integratedext> baseext> stationext>,ext> electronicext> equipmentext>,ext> aext> computerext> readableext> storageext> mediumext> andext> aext> computerext> programext> productext>.ext> By constructing a heterogeneous cooperative networking system with communication and perception depth integration, the integration of high-quality data transmission and high-precision real-time perception positioning of the low-altitude unmanned aerial vehicle is realized, and the core problems of function cracking, low resource utilization rate and poor dynamic adaptability are solved. Ext> inext> aext> firstext> aspectext>,ext> theext> presentext> disclosureext> providesext> anext> unmannedext> -ext> planeext> -ext> orientedext> 5ext> Gext> -ext> aext> sensoryext> fusionext> accessext> networkingext> systemext>,ext> theext> systemext> comprisingext>:ext> The system comprises a sense fusion access network, a core network and a low-altitude supervision application platform; The sense fusion access network comprises a plurality of first base stations and a plurality of second base stations, wherein the first base stations and the second base stations are deployed on the ground side of a target airspace, the first base stations work in a first frequency band and are configured to execute a sense integration function facing an unmanned aerial vehicle so as to simultane