145 results about "Interference ratio" patented technology

The invention discloses an unmanned aerial vehicle anti-interference communication link control method based on heterogeneous network convergence, and relates to the technical field of unmanned aerial vehicle anti-interference communication, and the method comprises the steps: S1, interference sensing and network state modeling, S2, intelligent link decision making, S3, spectrum avoidance and resource scheduling, S4, distributed feedback and cooperative anti-interference, and S5, heterogeneous network cooperative relay. S6, resource allocation and energy efficiency optimization; S7, performance evaluation and parameter optimization; and S8, multi-link redundancy backup. According to the invention, through S1, S2 and S7, a sensing, decision-making and optimization closed-loop system is constructed, LSTM interference prediction and three-dimensional network modeling in S1 provide accurate input, a dual deep Q network in S2 realizes low-delay link decision-making, and KPI evaluation and genetic algorithm dynamic parameter adjustment in S7, the signal-to-interference ratio is improved, the anti-interference adaptability is improved compared with a traditional passive response mode, and the method has the advantages that the method is simple and convenient to operate, and the cost is low. The creative breakthrough that interference does not reach strategy precedence is realized; through S3 and S4, an active anti-interference mechanism is formed, and compared with a single avoidance or suppression method, the interference elimination efficiency is improved.

The invention relates to the technical field of electric leakage detection, in particular to an underground coal mine low-voltage remote electric leakage test system and method, and the system comprises a task allocation module, an off-state discrimination module, a signal transmission module, a state recognition module and a path receipt module. According to the method, the loop load level and the channel response condition are accurately evaluated, the task channel is dynamically matched, the task distribution blind area and error are reduced, the impedance difference structure and the continuous feedback trend are integrated to recognize the abnormal branch segment, and the driving and decoding mode is intelligently adjusted by using the signal amplitude and the interference proportion relation; signal transmission stability and data reduction accuracy are improved, a waveform drift trend and a load state combination are calculated in real time to accurately detect an electric leakage position, task initiation and response nodes are compared to ensure path synchronization legality, efficient linkage between load state change and signal drift is realized, electric leakage detection response speed and precision are improved, and reliability of electric leakage detection is improved. And the line abnormal state discrimination accuracy is enhanced.

This application relates to wireless communications, including methods and apparatus to monitor radio link conditions of a cellular wireless network adaptively using a low-power wake-up signal (LP-WUS) burst received by a low-power wake-up radio (LP-WUR) of a wireless device when possible and switching to using legacy reference signals received by a main radio only when required. The LP-WUS burst is processed by the LP-WUR to determine a block error rate (BLER) value and / or a signal-to-noise-plus-interference ratio (SINR) value to determine whether the wireless device is in an out-of-sync (OOS) condition. The main radio can be awakened, including when directed to sleep by the cellular wireless network, to perform radio link monitoring when the OOS condition is determined.

The invention provides a real-time GNSS (Global Navigation Satellite System) interference detection method and device based on a carrier-to-noise ratio. The method comprises the following steps: determining carrier-to-noise ratio thresholds of different satellite systems and different frequency point signals; analyzing GGA data in a first preset format and GSV data in a second preset format in the received GNSS real-time information; acquiring an azimuth angle, a pitch angle and a carrier-to-noise ratio at the current moment according to the GGA data and the GSV data; comparing the carrier-to-noise ratios of different frequency points of different satellite systems with corresponding carrier-to-noise ratio thresholds to determine interference; dividing the complete interval of the azimuth angle into M intervals according to a preset rule; determining the total number of satellites in each interval at each moment and the number of interfered satellites in each interval, and calculating an interference proportion; and determining that the interval is abnormal if the interference proportion exceeds the interference threshold. According to the method, information such as the pitch angle, the azimuth angle and the carrier-to-noise ratio of the satellite can be obtained through the real-time GGA format data and the GSV format data, so that real-time GNSS signal interference detection is realized, interference detection is simpler and more convenient, and the cost is lower.

The invention discloses an emergency command system and method based on satellite communication, and particularly relates to the technical field of radio transmission. On-site information of a disaster area is obtained in real time, the information is transmitted to an emergency command center through a satellite communication channel, dynamic command decision and resource optimization are achieved, in the signal transmission process of the system, the phase noise and the inter-carrier interference ratio of satellite signals are monitored and analyzed in real time, whether the signals are distorted or not is judged, and when the signals are distorted, the emergency command center is started. The system is automatically switched to a standby satellite communication channel to ensure that information transmission is not interrupted; besides, the satellite communication link monitoring system can adjust the signal quality in real time and carry out fault-tolerant processing, continuous operation of the command system is ensured, emergency response failure caused by communication interruption is avoided, the stability of satellite signals in various environments is effectively improved, and efficient operation of the emergency command system is ensured.

The invention discloses an LEO satellite power distribution and association method and system based on a cellular-free architecture in the technical field of wireless communication, and the method comprises the steps: carrying out the maximum ratio transmission precoding of all satellite access points, and generating a coding modulation signal; after the target users receive the coded modulation signals, receiving signals are formed at a receiving end, and the signal-to-interference ratio and the downlink transmission rate of each target user are calculated through the receiving signals; accumulating downlink transmission rates of all target users through a central satellite, and calculating system energy efficiency in combination with total power consumption of all satellite access points; and constructing an objective function with maximization of the system energy efficiency, solving the objective function through an iterative optimization algorithm under the constraint condition of a satellite transmitting power upper limit and a user-satellite coverage relationship, and determining an optimal power allocation and user-satellite association scheme. The method can adapt to the high-speed motion characteristic of the LEO satellite, and the system energy efficiency and the resource utilization rate are remarkably improved.

The invention relates to the technical field of voice signals, in particular to a two-step mixed sound source separation and de-reverberation method, which comprises the following steps of: firstly, carrying out separation network training by taking different types of signals as training targets in various separation networks for separating attention and the like; the invention provides an improved de-reverberation method based on a time convolution network-weight prediction error, multiple improvement strategies such as taking a scale invariance signal-to-noise interference ratio as a network loss function, adopting a transposition mechanism for an input signal and a mechanism for additionally adding a residual value to a network unit are used, and finally, the de-reverberation method based on the time convolution network-weight prediction error is obtained. And cascading the separation attention network with the best separation noise reduction effect with the time convolution-transpose-residual error-WPE network. According to the invention, the problem that the separation effect of the mixed audio signal with reverberation and noise signals is not good under the actual sound field condition is solved, compared with a single one-step or two-step existing separation, de-mixing and noise reduction network, the method is significantly improved, and the quality of the separated voice can be improved for later recognition and discrimination.

The invention provides a joint channel and route selection cross-layer decision-making method based on Q learning. The method comprises the following steps: acquiring coordinates; each routing node periodically broadcasts messages used for discovering, establishing and keeping alive neighbor relations; after receiving the Hello packet, the neighbor node feeds back an acknowledgement message and establishes a neighbor relationship; when data needs to be transmitted in the source node, the source node selects a next-hop node and a channel transmission data packet according to a selection strategy, and the data packet comprises the address of the selected next-hop node; the neighbor point judges whether the data packet should be forwarded by the neighbor point; the next-hop node replies to the source node through the control link, wherein reply information comprises the estimated signal-to-interference ratio and the latest Q table of the next-hop node; the source node calculates a reward value according to the feedback signal-to-interference ratio and the position obtained in the earlier stage; and the source node updates the Q table and the node selection strategy according to the reward value. According to the method, the network transmission rate and the anti-interference performance are improved, and the end-to-end time delay and hop count are reduced.

The present disclosure provides a system and a method for generating a path loss propagation model through machine learning. The system generates a path loss propagation model for fifth generation (5G) networks for network planning. The path loss model predicts a reference signal received power / signal to noise interference ratio (RSRP / SINR) by leveraging a fourth generation (4G) user data.

The invention provides a synthetic aperture radar imaging radio frequency interference detection method and system, and the method comprises the steps: S1, setting an SAR working time sequence design for radio frequency interference feature collection; s2, observing earth through an SAR satellite to obtain original echoes; s3, according to the working time sequence of the SAR, interference detection is carried out on echo data corresponding to SAR non-transmitted pulses, interference parameters are extracted at the same time, and a radio frequency interference signal model is established; s4, according to the radio frequency interference signal model parameters and original echoes, interference detection and suppression are carried out on echo data corresponding to each transmitted pulse again; and S5, outputting SAR echo data after interference suppression, and performing focusing imaging processing. The method can effectively solve the interference signal-to-noise ratio problem of SAR satellite interference detection, improves the interference detection and suppression capability, and can provide important technical support for the future SAR system design.

The invention provides a method for extracting complex electromagnetic interference sensitive parameters of a data link of an unmanned aerial vehicle and a related device, and the method comprises the steps: initializing an observation data set, observation data in the observation data set comprises an interference signal parameter group and a signal-to-interference ratio threshold which causes the unmanned aerial vehicle to lose lock of a data link under the electromagnetic interference of the interference signal parameter group; constructing a target function by taking the interference signal parameter group as an independent variable and taking signal-to-interference ratio threshold maximization as an optimization target, and constructing a proxy model of the target function by adopting a Gaussian process; inputting the interference signal parameter group in the current observation data set into the proxy model, and determining posterior characteristic parameters; constructing an acquisition function based on the posterior characteristic parameters, selecting an interference signal parameter group in the search space to carry out an electromagnetic interference experiment, determining a corresponding signal-to-interference ratio threshold value, and updating the current observation data set; the above process is repeated until the preset convergence condition is met, the electromagnetic sensitivity parameter combination can be obtained more quickly, and the manpower, material and time costs of the electromagnetic sensitivity test are reduced.

The invention provides a method for calculating the probability of uplink interference of a ground station on a low earth orbit satellite. The method comprises the following steps: carrying out interference scene modeling according to the positions and antenna models of the ground station and the satellite, the satellite orbit height, the lowest elevation angle of the ground station antenna and the sidelobe width; calculating the airspace interference probability and the time domain interference probability of the satellite subjected to the ground station according to the interference scene and the satellite parameters, and substituting the time domain interference probability and the airspace interference probability into an interference probability calculation model to calculate the joint interference probability of the satellite subjected to the ground station; and when the joint interference probability is not zero, calculating the interference power received by the satellite according to the link parameters, and multiplying the interference power by the joint interference probability to obtain a link interference-to-noise ratio result. According to the method, the probability that the satellite is interfered within a period of time is analyzed from the two dimensions of time domain and space domain, and when the joint interference probability is not zero, the interference ratio result can be calculated in combination with the probability value, so that the complexity of interference calculation is effectively reduced.

A computer-implemented method for detecting a target amidst clutter by a radar system able to transmit individual electromagnetic signals, wherein a sequence of the transmit signals are sent from first to last on separate transmit antennae, receive the signals reflected off the target and the clutter, and process the received signals. The method includes determining a baseband signal for each of the transmit signals; calculating a signal convolution matrix for each of the transmit signals; estimating a clutter amplitude for each range cell; calculating a clutter correlation matrix for the clutter; determining a noise variance for the transmitted signals; calculating an interference correlation matrix for the transmit signals; and forming a target detector for the radar system. The target detector for the radar system further includes sequentially processing the reflection signals, rejecting cross talk from the clutter correlation matrix, and increasing a signal-to-interference ratio, thereby optimizing the detectability of the target.

Provided herein is a method and system for managing multiple Access Points (APs) in a wireless network utilizing a multi-dimensional, cluster-based coordination scheme, known as a hybrid scheme. The hybrid scheme harmonizes the frequency and spatial domains to achieve consistent Signal-to-Interference Ratio (SIR) for all Main Access Points (M-AP) and Secondary Access Points (S-AP) Service Station Adaptors (STAs). The system integrates both the spatial and frequency dimensions, aligning them for effective coordination. Through this scheme, the design goal of maintaining a certain SIR level across every M-AP and S-APs' STA is achieved. In various implementations, the hybrid scheme may apply specific algorithms for coordinating the M-APs and S-APs, thereby optimizing the wireless network's performance. Some embodiments may utilize advanced technologies or unique approaches to enhance the efficiency of the hybrid coordination scheme.

The invention discloses a cooperative uplink communication performance analysis method for an unmanned aerial vehicle assisted MEC network. The method comprises the following steps: constructing a spatial distribution model of unmanned aerial vehicles and ground users based on the unmanned aerial vehicle assisted MEC network taking a region as a center; calculating a signal-to-interference ratio received by the uplink unmanned aerial vehicle from the typical user according to the spatial distribution model; and analyzing the communication performance of the cooperative uplink of the unmanned aerial vehicle assisted MEC network according to the signal-to-interference ratio. According to the invention, the technical problem of how to accurately and quickly analyze the uplink communication link performance of the UAV-assisted EMC scene and output the result is solved.

The invention relates to the technical field of satellite internet, and discloses a multi-satellite cooperative beam hopping resource allocation method and system based on interference avoidance, and the method comprises the steps: 1, constructing a multi-satellite beam hopping cooperative coverage interference analysis model; 2, modeling is carried out on a multi-satellite-hopping-beam multi-dimensional resource scheduling problem; 3, defining interference between spatial isolation measurement hopping beam patterns, constructing an interference constraint matrix, determining a shortest distance threshold value through a carrier-to-interference ratio threshold value, deducing an interference model in a same-rail scene and a different-rail scene, and bringing the carrier-to-interference ratio threshold value into optimization problem constraint; step 4, carrying out graph structure modeling based on GAT-PPO; 5, an Actor decision layer outputs a beam scheduling probability matrix and a power distribution vector in a double-branch mode, an action space is subjected to multiple constraints, and a reward function balances throughput and interference suppression; step 6, adopting a centralized training-distributed execution framework; according to the method, interference model analysis of multi-satellite cooperative coverage based on interference avoidance is constructed, and real-time analysis and scheduling of the interference condition are carried out.

The invention relates to the technical field of wireless networking, in particular to a shipborne digital wireless ad hoc network method and system, and the method comprises the following steps: obtaining ship communication equipment information, constructing a layered mark matrix, generating a node role identifier set, monitoring response time delay, judging a connection relation, and establishing a communication topology. And optimizing spectrum allocation according to an interference ratio and an overlapping coefficient, completing channel matching and path completion, executing AES encryption and encapsulation of data frames, and decrypting and verifying time delay record effective data frames by a receiving end according to a key index. According to the invention, through combination of hierarchical marks established by node equipment information and communication roles, the accuracy of inter-node connection priority and hierarchical mapping is improved, through dual detection of the interference ratio and the spectrum overlapping coefficient of the channel, the stability of a communication path and the channel utilization rate are improved, and the communication efficiency is improved. In a node link matching process, path breakpoints are complemented to guarantee network integrity, a security header field is embedded in combination with a key index and a channel number, and the security guarantee level of data encryption transmission is improved.

The invention relates to measurements and procedures for NR localization. User equipment (UE) positioning within a 5G new radio (NR) network may be determined by receiving a set of downlink (DL) position reference signal (PRS) resources indicating a plurality of DL PRS resources, and receiving a DL PRS reporting configuration indicating a set of measurements to be performed by the UE for each of the plurality of DL PRS resources within the set of DL PRS resources. A location measurement may be performed for each of a plurality of DL PRS resources within a set of DL PRS resources, including generating a Reference Signal Time Difference (RSTD) measurement by estimating a timing of a first arrival path from at least two of the plurality of DL PRS resources, and determining a reference signal received power (RSRP) metric or a signal to noise interference ratio (SINR) metric associated with the at least two DL PRS resources. The performed position measurements may be reported.

The application provides a hybrid user unlicensed random access method in a cell-free massive MIMO, comprising the following steps: deploying a cell-free massive MIMO system and calculating an optimal backoff parameter; after obtaining the optimal backoff parameter, an access point broadcasts the optimal backoff parameter to all users; the users randomly activate according to the optimal backoff parameter broadcast by the access point; the users successfully activated randomly select a pilot from a predefined pilot pool and send the pilot to the access point; the access point judges whether the signal-to-interference ratio of the user with the maximum signal strength among the users selecting the same pilot is greater than a threshold value; if yes, the access point identifies the user with the maximum signal strength and accesses the user; otherwise, all the users in conflict are considered to have failed to access and wait for the next reinitiation of access. The application can significantly improve the problem of poor performance of edge users, improve the access efficiency of various types of users in an Internet of Things scene, has high feasibility and can be applied to an actual communication scene.

The invention relates to the technical field of modern communication, and discloses a wireless network card power adaptive control method and system. The method comprises the following steps: acquiring real-time interference data, performing spectrum change according to the real-time interference data to obtain an interference intensity distribution diagram, performing interference correlation analysis and power optimization calculation according to the interference intensity distribution diagram to obtain a power configuration scheme, performing parameter updating according to the power configuration scheme to obtain a preliminary power correction result, and performing power optimization calculation according to the preliminary power correction result. The method comprises the steps of obtaining a preliminary power correction result, carrying out interference comparison evaluation according to the preliminary power correction result to obtain deviation information, carrying out power optimization according to the deviation information to obtain an optimized power configuration scheme, and carrying out synchronous configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final regulation command set. According to the method, the problem that interference chain reaction is easily caused by equipment power adjustment can be solved, so that stable communication and interference suppression in a complex network environment are realized.

The invention discloses a region-centered unmanned aerial vehicle coverage rate analysis method. The method comprises the following steps: constructing a region-centered unmanned aerial vehicle cooperative transmission model; fractional power control is carried out on the service unmanned aerial vehicle and the interference unmanned aerial vehicle; calculating the signal-to-interference ratio of the typical user based on the transmitting power of the service unmanned aerial vehicle and the interference unmanned aerial vehicle; based on the stochastic geometry theory, the coverage probability of typical users is obtained through service distance distribution, signal power distribution and interference distribution in combination with a Cauchy-Schwarz inequality and Gamma distribution approximation; the unmanned aerial vehicle density, the power control coefficient, the path loss index and the Nakagami fading parameter are set, the influence of the number of different service unmanned aerial vehicles, the power control coefficient and the channel condition on the coverage probability is analyzed, and simulation verification is carried out. According to the method, the technical problem of how to suppress the network interference of the unmanned aerial vehicle through power control in a complex interference scene is solved, and the network coverage rate of the unmanned aerial vehicle is calculated.

Provided herein is a method and system for managing multiple Access Points (APs) in a wireless network utilizing a multi-dimensional, cluster-based coordination scheme, known as a hybrid scheme. The hybrid scheme harmonizes the frequency and spatial domains to achieve consistent Signal-to-Interference Ratio (SIR) for all Main Access Points (M-AP) and Secondary Access Points (S-AP) Service Stations (STAs). In various implementations, the hybrid scheme may apply specific algorithms for coordinating the M-APs and S-APs.

The invention belongs to the technical field of signal processing, and particularly relates to a dolphin echo positioning signal detection method under a low signal-to-interference ratio, a program, equipment and a storage medium. In order to overcome the difficulty of click detection caused by high-energy whistles, a Gabor time-frequency filter is used for filtering aliasing signals, and the position of a detection window where the click is located is determined; according to the method, the AMF-TKEO algorithm is designed, the problem that the correlation of a traditional matched filtering method is reduced is solved by adaptively updating the reference signal, and meanwhile, the influence of a local correlation peak on click detection is eliminated through application of a detection window. The invention not only provides a solution for click suppression in the aliasing signal, but also can be simply applied to a click detection task under a low signal-to-noise ratio. Compared with a traditional method, the method has higher accuracy and robustness, and the detection probability of dolphin echo positioning signals in aliasing signals is greatly improved.

Disclosed is a method for adapting a communication channel of a URLLC service, the method being designed to ensure reliability when performing the URLLC service and being performed in a communication system having at least one transmitter node (eNode) and a receiving or mobile terminal, wherein the receiving or mobile terminal measures an expected signal-to-interference ratio (SIR) using a reference signal received at time t=i-1 and converts the SIR value (SIR) into a desired signal-to-interference ratio (SIR). i‑1 ) is stored in the memory. According to the present invention, the SIR value (SIR i‑1 ), determine the CQI value (CQI i‑1 ) and sends it to the transmitter node (eNode), which transmits the CQI (CQI i‑1 ) selects the modulation and coding format (MCSi) for subsequent transmission in the downlink, wherein, when receiving a data packet sent by the transmitter node (eNode) at time t=i, the receiving terminal measures the SIR (SIRi) and saves it in a memory.

This invention discloses a method, system, storage medium, and electronic device for suppressing mutual interference in spaceborne synthetic aperture radar (SAR) scattered waves based on matched filtering. The method includes the following steps: estimating relevant parameters of mutual interference based on prior orbit information and time-frequency relationships; performing range pulse compression on the interference signal in the echo data; detecting whether the range pulse contains interference using the maximum eigenvalue sequence detection method; calculating the relative signal-to-interference ratio (SIR) of the interference pulse; reconstructing and extracting the interference signal under high SIR and low SIR conditions using the eigenspace projection method and robust principal component analysis method, respectively; filtering it from the echo data; and then performing inverse range compression on the data to restore the interference-free normal echo. This invention effectively utilizes the compression gain of mutual interference, thereby more effectively extracting mutual interference signals from SAR echoes and achieving high-precision interference suppression while better protecting useful signals.

This application provides a target detection method, apparatus, and device based on a novel weighted coding method. The method includes: selecting multiple discrete velocities within the predicted relative velocity range between the detection platform and the target; calculating the Doppler shift factor corresponding to each discrete velocity; solving for the locally optimal weighted coding that minimizes the weighted sidelobe level under each Doppler shift factor using an improved solution algorithm, wherein the improved solution algorithm incorporates the Doppler shift factor as a coefficient into the expression for the weighted sidelobe level; and calculating the globally optimal weighted coding based on all locally optimal weighted codings, wherein the globally optimal weighted coding is used to construct the transmitted signal of the detection platform. Through this application, even when the specific relative velocity is unknown, the transmitted signal can ensure that its range sidelobe level is suppressed to a low range at any velocity within the entire prediction range, thereby ensuring a stable signal-to-interference ratio (SIR) after matched filtering.

The application discloses a kind of movable antenna cooperation NOMA's user downlink system optimization method and system, belong to wireless communication technical field.Its method includes: obtaining the position of user movable antenna and the receiving path of user to base station link;Calculate the channel gain between user and base station;Calculate the signal-to-noise ratio of user, calculate the mobile energy consumption of user movable antenna;According to the mobile energy consumption of user movable antenna and the transmission power allocated to user, the objective function of system total energy consumption model is constructed, according to the signal-to-noise ratio of user, user mobile area, the channel gain order between user and base station, the transmission power order allocated to user, the constraint of system energy consumption model is constructed;System total energy consumption model is converted into convex optimization problem, and the transmission power allocated to user after optimization and the position of user movable antenna after optimization are obtained.The application can realize the performance improvement of system, and solve the complexity brought by optimization problem simultaneously.

The invention discloses a battery protection method based on BMS dormancy small current identification and detection, and relates to the technical field of circuits, and the method comprises the steps: forming a sampling resistor installation point position in a BMS line, and carrying out the structure setting of a sampling resistor; the BMS is preset; obtaining an interference proportion of a BMS line to the sampling resistor; when the charging and discharging current of the BMS does not exceed the wake-up current detection threshold value, the sampling resistor amplifies the charging and discharging current of the BMS to wake up the MCU, and the MCU performs battery protection; when the sampling resistor amplifies the charging and discharging current of the BMS, the interference proportion is used to amplify the current filtering signal. By forming a mounting point position of the sampling resistor, carrying out structure setting of the sampling resistor and obtaining an interference proportion of the sampling resistor, an induction current signal can be removed according to an actual situation, it is ensured that an MCU is inevitably awakened by small current, and protection on a battery is ensured.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method of a user equipment (UE) in a wireless communication system includes determining an on-off keying (OOK) waveform for a low power synchronization signal (LP-SS), and determining at least one of an LP-SS reference signal received power (LP-RSRP), an LP-SS reference signal received quality (LP-RSRQ), an LP-SS received signal strength indicator (LP-RSSI), and an LP-SS signal to noise and interference ratio (LP-SINR) based on the LP-SS. The determined at least one of the LP-RSRP, the LP-RSRQ, the LP-RSSI, and the LP-SINR is based on a segment having a non-zero value in the OOK waveform of the LP-SS. The method further includes performing, using a low power receiver (LR) of the UE, a first radio resource management (RRM) measurement based on the LP-SS.

The application provides an artificial intelligence-based portable base station networking method and system, relates to the technical field of communication, and can acquire the obstacle density of the area where the portable base station is located, the distance between the portable base station and neighbor base stations and the signal interference ratio; inputs the obstacle density, the distance between the portable base station and neighbor base stations and the signal interference ratio into an environment perception model to obtain the link stability score corresponding to the portable base station; inputs the link stability score, the energy information of the portable base station and the device communication state and the energy information of the neighbor base station into a resilience topology model to obtain the topology evaluation information of the portable base station; the resilience weight vector at least includes first information for indicating the topology reconstruction priority and second information for indicating the connection type; and in the case where the first information is greater than a preset reconstruction priority threshold value, the networking operation is performed according to the second information. The connection demand of the portable base station in a dynamic environment can be met.