14 results about "Virtual base station" patented technology

The invention relates to the technical field of engineering monitoring, in particular to an unmanned aerial vehicle dynamic monitoring and early warning system and method for the whole subway tunnel excavation process, and the system comprises a virtual base station differential positioning module which is used for carrying out the unmanned aerial vehicle dynamic monitoring and early warning according to a carrier phase observation value transmitted by a ground active control target and a satellite signal observation value obtained by an airborne receiving end, and calculating ionosphere residual values and troposphere residual values between the current position of the unmanned aerial vehicle and the three adjacent ground active control targets. According to the method, the pixel gradient vector of the thermal inertia matrix is further calculated, the edge candidate points exceeding the threshold value are extracted, and the edge candidate points are closed in the gradient vertical direction to form the geometric region, so that the fuzzy thermal field anomaly is converted into the quantized graph with the definite physical boundary, and the hidden danger area and the internal gradient mean value are combined for calculation; the risk early warning level can be dynamically generated according to the tunnel design tolerance, so that recognition and hierarchical management and control of hidden geological disasters are realized on the premise of not contacting the ground.

The application belongs to the technical field of wireless positioning, and particularly relates to a synchronization positioning and mapping method based on millimeter wave communication multipath transmission signals. By establishing a multi-antenna virtual base station model, non-line-of-sight paths are equivalent to virtual line-of-sight paths transmitted by the multi-antenna virtual base station, the state of the virtual base station is described by position and azimuth angle, thereby simplifying the relationship between the geometric parameters of the non-line-of-sight transmission path and the state of the user, and the measurement information of the non-line-of-sight path transmission signals is more effectively utilized; secondly, the multi-antenna virtual base station is regarded as a map feature in a spatial radio frequency environment, a mobile user synchronization positioning and mapping algorithm based on millimeter wave multipath parameter measurement is proposed, the multipath parameter measurement set and the map feature set are modeled as a random finite set, and a probability hypothesis density filter is used to estimate the map, thereby significantly improving the synchronization positioning and mapping performance in the dense clutter and sensor missed detection scenarios.

Embodiments of the present application provide a distributed virtual cell deployment method, network device and mobile communication network, wherein the present application proposes to deploy one or more virtual base stations by grouping small base stations and setting the first network device between the small base station group and the macro base station in the mobile communication network, and control the number of virtual cells provided by each virtual base station, and respectively provide virtual cell feature information for each virtual base station to configure the virtual cells, so that the multiple small base stations contained in the same virtual cell use the same physical cell identifier and frequency point, and on this basis, record the above information in the neighbor cell relation table. Since the number of virtual base stations is much smaller than the number of small base stations in mutual neighbor cell relation with the macro base station, thus, the purpose of simplifying the neighbor cell relation configuration and reducing the maintenance and operation cost can be achieved. Further, using the neighbor cell relation table for service cell switching management is also more simple, fast and efficient.

The invention relates to the technical field of bridge engineering and information, and discloses a steel-concrete combined bridge crack monitoring system and method based on an unmanned aerial vehicle, and the system comprises a multi-rotor unmanned aerial vehicle, a ground multi-base-station RTK-GPS system, a stereoscopic vision collection module, a laser radar scanning module and a thermal infrared imager. The multi-rotor unmanned aerial vehicle carries each monitoring module to fly to a to-be-detected area, a ground multi-base-station RTK-GPS system generates a virtual base station through carrier phase difference, and centimeter-level positioning of the unmanned aerial vehicle is achieved; the stereoscopic vision acquisition module acquires a high-definition image, the laser radar scanning module generates point cloud data, and the stereoscopic vision acquisition module and the laser radar scanning module are fused to construct a textured three-dimensional model; and the thermal infrared imager identifies hidden cracks. Millimeter-level non-contact monitoring of the crack of the joint surface of the steel web and the concrete is achieved, personnel climbing is not needed, the positioning precision is high, the adaptability is high, the method is suitable for long-term health monitoring of a bridge, and reliable data support is provided for bridge structure performance prediction.

A network management system and a method of automatic adjustment for a virtualized base station are provided. The method includes following steps. A user equipment (UE) information table is queried from a core network, and a first reserved resource of a first virtualized base station is queried, where the UE information table includes first location information and a first resource requirement corresponding to a first UE set. A second resource requirement corresponding to a second UE set is obtained from the UE information table based on the first location information and a default range. Whether the first reserved resource matches the second resource requirement is determined to generate a determination result. The first reserved resource of the first virtualized base station is expanded or reduced based on the determination result.

A legitimate radio access network node may determine fake base station barring criteria that may be transmitted to a user equipment in a fake base station barring configuration. The user equipment may analyze information or signal characteristics corresponding to a signal associated with another node with respect to criteria contained in the fake base station barring configuration. The barring criteria may include a signal strength threshold or a timing advance threshold. If the analyzed information or signal characteristics satisfy barring criteria contained in the barring configuration, the user equipment may determine that the other node is a fake base station and may avoid selecting, or accessing, the other node. The user equipment may flush radio resource control configuration information corresponding to the fake base station. The user equipment may select or access a next-best node based on the barring criteria being satisfied with respect to the determined fake based station.

The invention discloses a cross-band TDOA error suppression positioning method based on virtual base station mapping, and belongs to the technical field of wireless communication and positioning. According to the technical scheme, the method comprises the following steps: synchronously acquiring 5G-A and WIFI 6E cross-band signals and extracting features; identifying a non-line-of-sight link based on the signal intensity and the time difference of arrival, and mapping a virtual base station for the non-line-of-sight link; constructing a positioning equation set containing a real base station and a virtual base station, and obtaining robust initial position estimation by adopting QR decomposition iteration solution; and finally, directly fusing the nonlinear time difference of arrival observation value in a square root unscented Kalman filtering framework to carry out state estimation and trajectory smoothing, and dynamically updating parameters of the virtual base station. According to the method, the non-line-of-sight error is converted into an estimable parameter through virtual base station modeling, the numerical stability and the non-linear processing capacity are enhanced by combining QR decomposition and square root unscented Kalman filtering, and high-precision and smooth dynamic positioning under the conditions of few base stations and strong non-line-of-sight is achieved.

A method of operating a virtualized radio access network (VRAN), where a radio cell of the vRAN includes one or more virtualized base stations (vBSs) serving a number of users located within a coverage area of the radio cell, and at least one reconfigurable intelligent surface (RIS). The vBSs include radio units (RUs), and distributed units (DUs), where each RU is associated with at least one DU, and where the DUs are deployed in an edge computing device sharing the computing device's available computing resources. The method includes determining, using a controller, configuration parameters of the at least one RIS in terms of gain and / or phase of reflective elements of the RIS that minimize a computing overhead of the DUs deployed in the edge computing device. The method can use Artificial Intelligence (AI) and Machine Learning (ML) operations for optimizing computing consumption of a vRAN with improved decision making.

An apparatus and a related method for determining an assignment of Resource Blocks (RBs) from one or more Cell Tower (CTs) to a plurality of User Equipment devices (UEs), the assignment minimizing a total assignment cost is provided. The method includes modifying a system of equations by introducing a plurality of dummy UEs therein. The system of equations is defined using a cost matrix, a RB-Supply vector and a RB-Demand vector. The method also includes modifying the system of equations by introducing one or more dummy CTs therein and resolving the system of equations using a Customized Hungarian method. The method in addition includes reversing the modification made by introducing the dummy CTs and reversing the modification made by introducing the dummy UEs, thereby obtaining the assignment.

The invention belongs to the technical field of wireless positioning, and particularly relates to a synchronous positioning and mapping method based on millimeter wave communication multipath transmission signals. By establishing a multi-antenna virtual base station model, a non-line-of-sight path is equivalent to a virtual line-of-sight path transmitted by a multi-antenna virtual base station, and the state of the virtual base station is jointly described by a position and an azimuth angle, so that the relationship between geometric parameters of a non-line-of-sight transmission path and the state of a user is simplified; the measurement information of the non-line-of-sight path transmission signal is effectively utilized; secondly, taking a multi-antenna virtual base station as a map feature in a spatial radio frequency environment, providing a mobile user synchronous positioning and mapping algorithm based on millimeter wave multipath parameter measurement, modeling a multipath parameter measurement set and a map feature set into a random finite set, and estimating a map by adopting a probability hypothesis density filter, and the synchronous positioning and mapping performance in a dense clutter and sensor missing detection scene is remarkably improved.

Embodiments of the present application disclose a kind of observation information generation method, device, electronic equipment and storage medium, the present application can be applied to map field, traffic field, automatic driving field or map car networking etc., the method comprises: if the state of reference physical main station currently corresponding to virtual base station in positioning service range is abnormal, select target spare physical main station for replacing reference physical main station from spare physical main station, spare physical main station and reference physical main station are pre-configured according to the distance with virtual base station;Search target physical auxiliary station associated with the target spare physical main station and the virtual base station;If no target physical auxiliary station is searched, determine the virtual observation data of virtual base station according to the geographic location information of target spare physical main station and virtual base station and the observation data of target spare physical main station.If the generation of virtual observation data is ensured by setting spare physical main station.

The application discloses a UWB single base station positioning method and system based on virtual anchor point generation, and the method comprises the following steps: 1, constructing a virtual UWB base station based on a multi-position assumption; 2, evaluating the position of the virtual UWB base station based on a Fisher information matrix (FIM); 3, performing a position collineation judgment on the virtual UWB base station and screening the position of the virtual UWB base station; and 4, solving the optimal pose of a mobile robot based on the virtual UWB base station by using a factor graph optimization, and realizing the positioning of the mobile robot. The scheme can maintain the system positioning ability under the extreme condition of a single base station by constructing an auxiliary positioning constraint through a motion sensor (IMU / odometer). The method provides an additional constraint for the global positioning of the mobile robot by virtually placing a base station position reference point, so that a completely observable UWB positioning system is constructed.

The invention discloses a position information determination method and device, equipment, a medium and a product. The determination method comprises the following steps: acquiring position information of a base station communicating with user equipment and arrival time of a signal from the base station to the user equipment; determining initial estimated position information of the user equipment based on the position information and the arrival time of the base station; determining the position information of the virtual base station based on the initial estimation position information, the performance value of the positioning precision and the position information of the base station; determining new position information of the user equipment based on the position information and the arrival time of the virtual base station; calculating a residual error based on the new position information and the initial estimation position information, and determining the stability according to a historical residual error sequence including the residual error; and when the stability is greater than or equal to a preset threshold, determining the new position information as final position information of the user equipment. Through the mode, the position information of the user equipment can be accurately determined when the user equipment is in a single available navigation observation information environment.

The invention provides a networking positioning processing method and device and related equipment, and the method is applied to a first reference station, and comprises the steps: obtaining first observation data streams of M second reference stations under the condition of detecting that the networking positioning of the first reference station fails; based on the first observation data stream and a position space relation, a second observation data stream of a virtual reference station is generated, the coordinate position of the virtual reference station is the same as the coordinate position of the first reference station, and the position space relation is the position relation of the second reference station and the first reference station in distance and direction dimensions; the second observation data stream is input into a successfully trained AI model for observation data prediction, a third observation data stream of the virtual base station is obtained, the AI model is used for generating data which takes input data as physical constraints of the virtual base station and conforms to observation data statistical characteristics of the first base station, and the AI model is used for generating data which takes the input data as physical constraints of the virtual base station. The third observation data stream is used for replacing the observation data stream of the first base station for networking positioning.