967 results about "Narrowband" patented technology

The invention discloses a wide-narrow integrated ad hoc network method, and belongs to the technical field of network communication. The method comprises the following steps: a network node generates dynamic topology information based on a narrow-band communication module periodic broadcast state beacon; according to the link quality and the node load in the topological information, coordinating the resource allocation of broadband and narrowband channels by adopting a load-aware time slot allocation algorithm; data are classified according to service types, broadband data are modulated and transmitted by adopting orthogonal frequency division multiplexing, and narrowband control instructions are modulated and transmitted by adopting differential phase shift keying; when the link quality is deteriorated, the link is switched, and the transmitting power and the frequency band parameters are dynamically adjusted; and adaptive switching and data distribution of wide and narrow band communication modes are realized. According to the method, the problems of difficulty in topology maintenance and low bandwidth and narrowband resource allocation efficiency in a high-dynamic network scene are solved, the network adaptability, the anti-interference capability and the resource utilization rate are remarkably improved through a dynamic cooperative bandwidth and narrowband communication mode, and meanwhile, the protocol switching overhead and energy consumption are reduced.

The invention provides a digital twin hydrological station system which is characterized in that the system comprises a layered architecture system and a multi-dimensional safety protection mechanism, the layered architecture system is composed of a sensing layer, a transmission layer, a data layer, a model layer, an application layer and a display layer from bottom to top, the sensing layer comprises a heterogeneous hydrological monitoring equipment cluster, and the transmission layer comprises a heterogeneous hydrological monitoring equipment cluster. The equipment cluster is provided with a water level sensor array, a Doppler flowmeter, a spectrum water quality analyzer and an environment monitoring terminal, and total element acquisition of hydrological element data, equipment operation state data and environment data is realized; the transmission layer adopts a hybrid communication protocol stack, integrates an ultra-short wave communication module, an NB-IoT narrowband communication module and an optical fiber communication module, and constructs a multi-path redundant transmission channel, and a key data transmission channel is configured with a dynamic link selection algorithm; the data layer comprises a distributed storage architecture, adopts a mixed storage mode of a relational database cluster and an unstructured database, and is internally provided with a data cleaning engine and a spatio-temporal data fusion module.

The invention relates to the technical field of pipeline detection, and provides a non-contact pipeline fluid flow velocity measurement method based on a frequency wavenumber domain spatial spectrogram, and the method comprises the steps: collecting a turbulence signal in a pipeline through a piezoelectric film sensor; carrying out snapshot number segmentation on the turbulence signal to obtain a plurality of segmented turbulence time domain signals; fourier transform and narrowband signal processing are carried out on the segmented turbulence time domain signals, and a spatial spectrum corresponding to each narrowband signal component is obtained; constructing a three-dimensional frequency-wave number domain spectrogram according to the spatial spectrum function; and according to the three-dimensional frequency-wavenumber domain spectrogram, calculating the flow velocity of the pipeline fluid. According to the method, a three-dimensional spectrogram characteristic space is constructed through conjoint analysis of the frequency and the wave number, the angle, distance and frequency characteristics of the turbulence signals are decoupled through spatial spectrum estimation methods such as the MUSIC algorithm, multipath interference and noise are effectively restrained, the flow speed of fluid in a pipeline can be accurately estimated, and limitation in a traditional method is overcome.

The invention discloses a reliable data transmission method for a narrowband satellite internet of things. The method comprises the following steps: defining a reverse data frame format; link state monitoring and quantification: continuously or periodically monitoring a quality index representing a link of the satellite Internet of Things terminal; continuously or periodically monitoring the uplink state of the satellite Internet of Things terminal by using a terminal link state evaluation module of the satellite master station baseband system; link state grading: dividing the current link state into a plurality of predefined state grades; identifying the transmission rate of the satellite Internet of Things terminal; constructing a self-adaptive confirmation window strategy: a sending end of the satellite Internet of Things terminal uses a confirmation window with a dynamic window size; the number of data packets confirmed by the transmitted ACK / NACK message, namely the window size, is dynamically adjusted according to the currently sensed link state and the identified terminal transmission rate; the performance of the whole system is improved.

The invention belongs to the technical field of intelligent engineering management, and discloses an automatic monitoring and control method of an engineering management system based on the Internet of Things. According to the method, a four-layer Internet of Things architecture comprising a sensing layer, a network layer, a platform layer and an application layer is constructed, and the four-layer Internet of Things architecture is uploaded to a cloud platform through a 5G / narrowband Internet of Things dual-mode transmission channel. A digital twinborn technology is innovatively adopted to construct a three-dimensional visual engineering model, intelligent identification and prediction of abnormal working conditions are realized through a machine learning algorithm, and a multi-stage linkage control mechanism is established. And when construction deviation or equipment failure is detected, the system automatically generates an optimization control strategy and issues the optimization control strategy to the execution terminal, so that accurate regulation and control of the construction machinery and intelligent pushing of early warning information are realized. According to the method, a manual inspection mode of traditional engineering management is broken through, full-process automatic supervision is realized through data fusion analysis and closed-loop control, the construction quality supervision precision is effectively improved by more than 30%, the safety accident rate is reduced by 50%, and the engineering management efficiency is remarkably improved.

The invention relates to the technical field of image focus detection, in particular to a fiber endoscope image focus detection method and system, and the method comprises the following steps: providing a data quality guide interface; capturing narrow-band light images of the endoscope away from a first preset position and a second preset position of the intestinal wall in the axial movement process, calculating brightness gain values of a blue light channel and a green light channel, calculating an asymmetric scattering correction coefficient, and updating indication of color information calibration integrity; tracking the pixel moving speed of the interferent in the view in the propulsion operation process, calculating the relative depth of the interferent, and updating the indication of the validity of the depth data of the interference layer; identifying the image area which is not shielded by the interferent, and updating the indication of the information coverage degree of the background area; triggering an image synthesis operation; performing color compensation on the image information of the image area which is stored in the background canvas and is not shielded by the interferent; reconstructing a clear image; and performing focus detection on the clear image. The method improves the accuracy of focus detection.

The invention provides a power grid frequency detection method, system and device and a medium, and the method comprises the steps: carrying out the narrowband signal decomposition of an obtained input voltage signal of a power grid through a null-space tracking algorithm, and obtaining a fundamental main mode component of the input voltage signal; performing low-pass processing on the fundamental wave main mode component to obtain a fundamental wave signal of the fundamental wave main mode component; performing discrete Fourier transform on the fundamental wave signal to obtain phase information of the fundamental wave signal; according to the phase information of the fundamental wave signal, calculating phase deviation information of the fundamental wave signal in pre-selected adjacent cyclic waves to obtain frequency estimation information of the power grid; according to the invention, narrow-band decomposition is carried out on an input voltage signal through a null-space tracking algorithm, so that a fundamental main mode can be accurately extracted; and phase deviation information can be determined based on discrete Fourier transform, so that when the interference frequency of the power grid is close to the fundamental frequency, high separation precision can be kept, and the accuracy of power grid frequency estimation can be improved.

The invention discloses a rail transit multi-network integration method based on a digital trunking technology, relates to the technical field of communication, and aims to solve the problem that a traditional narrowband trunking system cannot meet the requirements of voice and data comprehensive bearing and vehicle-ground large-bandwidth service real-time transmission. The method comprises the following steps: constructing a time division duplex long-term evolution broadband digital trunking unified bearing platform; an intermediate media access control layer fusion architecture is deployed, and seamless mobility management of the heterogeneous network is realized through unified authentication and multi-link aggregation; an intelligent vertical switching algorithm based on prediction and multi-criterion decision is introduced, a bidirectional long-short-term memory network model is utilized to predict a network state trend, and an improved entropy weight method and an analytic hierarchy process are combined to dynamically select an optimal access network according to service requirements. According to the invention, the network operation efficiency and the user experience can be obviously improved, and high reliability and high service quality of the rail transit communication system are ensured.

The invention discloses a space-air-ground integrated broadband narrowband adaptive emergency communication system, and relates to the technical field of space-air-ground integrated communication, and the system comprises a communication management center, a spectrum environment sensing module which is used for monitoring the use condition of each spectrum bandwidth through spectrum monitoring equipment disposed at each layer of space, air and ground, and sending the use condition of each spectrum bandwidth to the communication management center; comprising spectrum utilization rates of broadband and narrowband services, and constructing a dynamic spectrum map; and the demand prediction module is used for predicting spectrum demands of future broadband and narrowband services in combination with the historical communication data and the current network state. Through the dynamic spectrum allocation technology and in combination with 5G waveforms, spectrum resource allocation can be adjusted in real time according to actual service requirements and network conditions, resource waste or insufficiency in a traditional fixed spectrum allocation mode is avoided, the utilization rate of spectrum resources is remarkably improved through intelligent spectrum management, and the spectrum allocation efficiency is improved. The efficient cooperative work of broadband and narrowband services is ensured, and reliable spectrum guarantee is provided for emergency communication.

The invention discloses an ultra-high-speed imaging device based on acousto-optic filtering modulation. The ultra-high-speed imaging device comprises a spectrum modulation system, a spectrum imaging system and a data processing system. The spectrum modulation system utilizes an acousto-optic tunable filter (AOTF) to dynamically modulate broadband continuous spectrum light, narrow-band illumination light which rapidly changes along with time is generated, and time information of a dynamic scene is effectively mapped to a spectrum dimension. And the spectral imaging system images the spectral coded dynamic scene to the hyperspectral camera to realize acquisition of spectral space-time information. The data processing system performs spectral crosstalk correction, channel separation and demosaicing reconstruction on the acquired original mosaic image, and recovers a time sequence image according to a spectrum-time mapping relation, thereby realizing single-shot superspeed imaging in a dynamic process. The device has the advantages of being simple and compact in structure, flexible in time window, high in imaging fidelity and the like, and has wide application prospects in the fields of rapid dynamics such as microfluidics, laser processing and ultrafast physics.

The invention discloses an all-dielectric structure type broadband wave-absorbing metamaterial and a design method thereof. The all-dielectric structure type broadband wave-absorbing metamaterial comprises a substrate and a plurality of resonators, the plurality of resonators are periodically and uniformly arrayed on the surface of the substrate, the adjacent resonators are connected with each other, each resonator comprises a pyramid structure unit and a grid structure unit, the pyramid structure units are nested in the grid structure units to form a pyramid-grid composite resonator, and the substrate and the resonators are both made of a high dielectric loss composite material. Based on the brand new design angle of wave absorbing performance complementation, the limitation of the wave absorbing performance of a single structure is broken through, the wave absorbing performance is improved from the microstructure level, meanwhile, efficient electromagnetic wave energy absorption is achieved in a wider frequency range, multi-stage dissipation and broadband impedance matching of incident electromagnetic waves are achieved, and the wave absorbing performance is improved. And the technical limitation of thickness constraint and narrow-band response of the traditional wave-absorbing material is broken through.

The invention relates to the technical field of power internet of things, in particular to a broadband / narrowband self-adaptive switching power internet of things communication system and a control method, which intelligently identify the priority and quality of service (QoS) requirements of different services by collecting network states, terminal states and service flow data in real time. And an optimal communication mode switching strategy is dynamically generated based on a pre-trained machine learning model, seamless switching of broadband and narrowband communication links is realized, and the decision accuracy is continuously improved through a feedback optimization mechanism. According to the method, the problems that a traditional electric power Internet of Things communication mode is fixed and single and cannot intelligently adapt to services and network states are effectively solved, the system communication reliability is remarkably improved, the transmission time delay and energy consumption are reduced, and high-adaptability and high-reliability intelligent communication guarantee in a complex electric power scene is achieved.

The invention provides a multiband photoresponse nerve synapse device based on a two-dimensional and organic heterostructure, an array and application, and belongs to the technical field of organic electric solid-state devices. The device provided by the invention adopts a three-end bottom gate top contact structure and comprises a gate substrate, an insulating layer, a channel layer and a source / drain electrode, and the channel layer forms an II-type heterojunction by a two-dimensional semiconductor material with a narrow-band gap characteristic and an organic semiconductor material. The heterostructure realizes ultraviolet to far infrared (365nm-10 [mu] m) multiband photoelectric response, and shows synaptic plasticity under light pulse modulation, including short-term enhancement, long-term enhancement and learning-forgetting-re-learning characteristics. Large-area array preparation of the device can be realized through methods such as chemical vapor deposition, solution spin coating, jet printing or layer-by-layer self-assembly. The technology not only can be used for brain-like learning and memory simulation, but also can be applied to the fields of sensing and memory integrated intelligent systems, optical neural networks, artificial vision, multi-mode intelligent sensing and the like.

The invention provides a fault signal detection system and an analysis positioning method, and relates to the technical field of signal detection. An injection module is used for periodically applying narrowband acoustic disturbance capable of adaptively selecting frequency and power to an optical cable sheath; the passive wireless label nodes arranged along the line collect multi-dimensional data such as arrival timestamps, amplitudes, frequencies, phases, local temperatures and the like in real time, and upload the data through near-field coupling. And the convergence module completes node identification association and batch aggregation, the analysis and construction module constructs an acoustic propagation path map, and after temperature difference segmentation compensation, an actual laying path is dynamically recovered by adopting a map search algorithm. And the projection and identification module maps the map to a geographic information system coordinate system and outputs a fault space position, thereby realizing real-time and accurate optical cable fault positioning under a topology-free prior condition, remarkably reducing manual inspection and misjudgment rates, and being suitable for a multi-branch and multi-repair long-distance communication or power optical cable scene.

The invention relates to the technical field of optical communication, and discloses a multi-dimensional and multi-phase-based 50G PON signal noise compensation method, which comprises the following steps: S1, generating a mixed signal, including superposing a multi-phase orthogonal pilot signal into a data signal time domain at a transmitting end according to a preset proportion lower than the power of a data signal; and S2, transmitting the mixed signal in a polarization multiplexing mode, wherein the polarization multiplexing adopts double-channel parallel transmission of an X polarization state and a Y polarization state. Multi-phase orthogonal pilot signals are superposed to a data signal time domain in a low-power proportion at a transmitting end, polarization multiplexing dual-channel transmission is adopted, a narrow-band filter is utilized at a receiving end to separate pilots and calculate channel damage parameters, and a finite impulse response filter is configured to perform linear equalization compensation. And the simplified Kalman filtering algorithm is combined to estimate the phase noise and correct the phase, so that collaborative suppression of the linear channel damage and the phase noise in the 50G PON signal is facilitated.

The invention discloses an intelligent monitoring system for high-voltage power supply equipment, which belongs to the technical field of power distribution equipment monitoring and comprises three-in-one monitoring equipment including a temperature measuring device, a leakage current monitoring device and an ultrahigh-frequency partial discharge monitoring device. And data is transmitted to the wireless receiving unit through ultra-narrow-band wireless communication, and is finally summarized to a background intelligent data analysis platform, so that real-time monitoring and efficient and accurate judgment of the running state of the high-voltage equipment are realized. The system has the advantages of being high in intelligent degree, convenient to install, low in power consumption and the like, solves the problems that a traditional monitoring device is difficult to supply power, complex in wiring, unstable in data transmission and the like, and is suitable for state sensing and health management of large-scale high-voltage power distribution equipment. By using the system, field detection can be reduced, a large amount of manpower and material resources can be saved for power enterprises, the power facility management efficiency can be improved, the maintenance management level is improved, and stable operation of a power grid is ensured.

The invention discloses a spectral interference system resolution improving method and system, and the method comprises the steps: building an ISE-Net end-to-end deep neural network model, enabling the convolution kernel size of an efficient channel attention module of the ISE-Net end-to-end deep neural network model to be adaptively determined according to the number of input channels, and constructing a mapping relation between narrowband and broadband interference signals; and generating an ideal narrowband signal and a double-bandwidth target signal according to a spectral interference physical formula, defining a loss function by minimizing deviation between model output and the target signal, updating parameters and dynamically adjusting a learning rate by using an AdamW optimizer until model loss is converged, and completing data generation and training. An input narrowband signal horizontal axis is converted to a corresponding frequency domain axis, and is subjected to time shifting and intensity scaling preprocessing to adapt to the model. A signal processing flow suitable for a single / multi-layer structure is constructed, a bandwidth expansion signal is obtained through decomposition, expansion and reconstruction, and the resolution of a spectrum interference system is improved. The method has the advantages of high calculation efficiency, high generalization and flexible deployment.

The invention discloses an aerodynamic noise time sequence prediction method based on a VMD-ESN, and relates to the technical field of hydromechanics noise prediction.The method comprises the steps that firstly, aerodynamic noise signals are collected in real time through a sound pressure sensor; secondly, performing adaptive frequency domain decomposition on the original noise signal by adopting VMD, obtaining a plurality of orthogonal narrowband intrinsic mode functions through a constraint variation optimization framework, effectively separating vortex shedding harmonic and turbulence pulsation characteristics, and inhibiting spectrum aliasing; then, inputting each IMF into an ESN, performing high-dimensional mapping on a modal time sequence evolution rule by using a dynamic reserve pool of sparse connection of a neural network, and training an output layer weight matrix through a ridge regression algorithm; and finally, linearly superposing prediction results of all modes to generate a complete aerodynamic noise time sequence. The method does not need to depend on high-resolution grid iterative calculation, and achieves the accurate prediction of the aerodynamic noise time sequence in a long time interval through a cooperation mechanism of VMD signal adaptive decomposition and ESN machine learning dynamic modeling, and greatly improves the calculation efficiency.

The invention relates to the technical field of bearing monitoring, in particular to a wind generating set bearing monitoring method based on vibration data analysis, and the method comprises the steps: dividing a mixed signal into narrow-band components with independent energy through variational mode decomposition, separating dynamic responses of different frequency bands, weakening the interference effect of random noise, and enhancing the recognizability of a weak characteristic signal; the difference between the inner and outer ring load effects is displayed in a time sequence matrix in an offset trend, quantitative characterization of the energy and offset relation is enhanced, time alignment is carried out on the raceway load and the frequency amplitude by executing dynamic time warping, time sequence offset caused by rotating speed fluctuation is corrected, and the synchronization characteristics of energy and phase in the structure are displayed. Response abnormal characteristics under working condition changes are extracted, and signal de-aliasing, time sequence reconstruction and structure response accurate matching are realized, so that vibration signal identification sensitivity is improved, energy and phase change correlation reliability is enhanced, and abnormal part identification certainty is improved.

The invention relates to the technical field of image processing, and discloses a glue smearing defect detection method and system based on image processing. The method comprises the following steps: carrying out illumination imaging on a glue coating area of the PCB through a narrow-band blue-light LED to obtain original data; utilizing a self-adaptive color separation channel to select and identify different glues to obtain feature data; performing three-dimensional glue path modeling analysis according to the characteristic data to form a glue three-dimensional model; based on the three-dimensional model, performing multi-level tolerance evaluation on different functional areas to generate regional defect data; performing feature enhancement analysis on the defects by using a specific illumination technology to form a feature map; and dynamically adjusting a parameter output result through a temperature and humidity compensation algorithm. The method can adapt to requirements of different glue types, different PCB backgrounds and different functional areas, can consider environmental factors and material batch differences, improves the accuracy and reliability of detection, and meets the requirements of high-quality production in the electronic manufacturing industry.

The invention relates to the technical field of ultrasonic scanning microscopes, in particular to a system and a method for measuring surface unevenness and warping of an ultrasonic scanning microscope. The system comprises a water tank, a light emitting device, a light receiving device and a signal processing module, the light emitting device generates line laser through a semiconductor laser and an optical shaping module, and scanning is achieved through a high-precision galvanometer. The light receiving device is provided with a narrow-band filter, a telecentric lens and a CMOS sensor and is used for capturing a light spot image; the signal processing module integrates sub-pixel positioning, galvanometer nonlinear correction, self-adaptive filtering and temperature compensation algorithms, light spot center sub-pixel-level positioning is achieved through Gaussian curved surface fitting, galvanometer correction and temperature drift compensation are combined, the measurement precision and stability are improved, and finally high-precision height information is fed back to an ultrasonic scanning system. According to the invention, the accuracy and reliability of surface unevenness and warping measurement are improved.

A method (1500) is performed by a User Equipment, UE, (1912, 2000) for performing an uplink transmission that is spread using an Orthogonal Cover Code, OCC, in a Non-Terrestrial Network, NTN. The method includes transmitting (1502) an uplink transmission using Narrowband Physical Uplink Shared Channel, NPUSCH, Format1 with 3.75 kHz subcarrier spacing, SCS. The uplink transmission includes at least one data symbol, at least one Demodulation Reference Signal, DMRS, symbol, and at least one guard period. The location of the guard period within each of the slots comprising the uplink transmission is preserved after OCC spreading is applied to the uplink transmission.

A MEMS AE transducer system is provided that takes advantage of the low power consumption and lightweight characteristics of MEMS AE transducers, while also achieving higher sensing sensitivity. To address the problem of low sensitivity typically associated with MEMS AE transducers, electrical responses of multiple MEMS AE transducers operating at different frequency ranges are combined to increase the bandwidth and sensitivity of the MEMS AE transducer system. As the frequencies are constructive, the combined response on a single channel is the actual summation of two signals with an improved signal to noise ratio. Additionally, each frequency can be decomposed because they are well separated from each other due to the super narrowband response and high Quality factor of MEMS AE transducers.

The invention discloses a communication method and device, which can improve the PBCH receiving performance of a narrowband terminal while saving the overhead of a common channel. The method comprises the step of mapping M symbols of a physical broadcast channel (PBCH) to a PBCH time-frequency resource. The PBCH time-frequency resource is composed of a first time-frequency resource and a second time-frequency resource, and subcarriers occupied by the first time-frequency resource and the second time-frequency resource are not overlapped. Wherein M1 continuous symbols in the M symbols are mapped to a first time frequency resource, the remaining M-M1 symbols are mapped to a second time frequency resource, and M and M1 are positive integers greater than 1. Exemplary, the M1 consecutive symbols may be the first M1 symbols or the last M1 symbols of the M symbols.

The invention discloses narrowband communication equipment detection equipment and a detection method. The method comprises the steps that a pre-established wireless channel model data set is acquired, and the data set comprises attenuation values and interference intensity distribution data in different environments; constructing a multipath propagation simulation model according to the attenuation value and the interference intensity distribution data, obtaining a time delay extension range value by adopting time domain analysis, and obtaining an amplitude distortion range value by combining frequency domain analysis; and inputting actual measurement data of the environmental noise, the time delay extension range value and the amplitude distortion range value into an adaptive filtering algorithm to generate signal quality evaluation data after filtering processing, and the like. According to the method, through analysis and simulation of channel model data in different environments, various test means and algorithms are combined, and the performance of the equipment under various conditions, including signal quality, bit error rate, stability, risk and the like, is comprehensively evaluated, so that the reliability of the equipment in practical application is ensured.

An apparatus for detecting and treating gastrointestinal pathology. The apparatus includes a wireless capsule, where the wireless capsule includes at least one of: an optical imaging system, a thermal imaging system, or a camera. The camera is a narrow band imaging system, a white light imaging system, or both.

A communication method includes: sending a first poll frame, where the first poll frame is for triggering ranging measurement in a first range-measurement cycle, the first poll frame further indicates a first parameter set that takes effect in the first range-measurement cycle, and the first parameter set includes one or more of the following parameters: a first narrowband physical layer (PHY) parameter, a first narrowband channel allow list, a first ranging block structure parameter, or a first ultra-wideband (UWB) multi-millisecond (MMS) ranging configuration parameter; and receiving a response frame of the first poll frame. According to the present disclosure, an initiator uses a poll frame to indicate a parameter set that takes effect in a current range-measurement cycle.

Systems, devices, and methods are disclosed herein for ultraviolet saunas. Systems include a plurality of walls of an enclosure, the enclosure being a sauna enclosure configured to accommodate a user. The systems further include a plurality of heating elements coupled to the plurality of walls, a plurality of emissive elements configured to generate ultraviolet (UV) light, and a controller coupled to the plurality of heating elements and the plurality of emissive elements. The controller includes one or more processors configured to generate activation properties for each of the plurality of heating elements and the plurality of emissive elements, activate at least one of the plurality of heating elements based on the plurality of activation properties, and activate the at least one emissive element based on the plurality of activation properties.

The invention is generally directed to systems and methods of monitoring or predicting a service event for an industrial asset using an artificial intelligence of things (AIoT) system including an AIoT device, AIoT cloud, and a self-learning AI classification and analytics engine. The device may include one or more sensors and an inference engine for reducing power consumption and detecting anomalies at the edge and sending data associated with anomalies to a signal processor for classification and AI-driven automatic configuration. Classification may be based on narrow-band analysis and / or machine learning models. If an anomaly is detected power may be provided to a communication module to send sensor data to the signal processor for classification and / or further processing. Classifications or determinations made by the signal processor or detected through a work-order system may be used to automatically retrain the inference model on the edge, so that the system is self-learning.

The invention discloses a two-dimensional arrival angle estimation method under fluid antenna energization, and the method comprises the steps: enabling two orthogonally distributed fluid antennas to respectively move along an x axis and a z axis at the same speed, moving for a fixed distance each time, and receiving K narrowband pilot signals which are not related to each other at each position; based on received data after the fluid antenna is moved for multiple times, covariance vectors of virtual aperture expansion in the x-axis direction and the z-axis direction are respectively constructed by jointly utilizing auto-covariance and cross-covariance information; based on covariance vectors expanded by two virtual apertures, rough estimation is carried out firstly and then fine estimation is carried out on an included angle between an incident central transmission path of a narrowband pilot signal and an x-axis forward direction and an included angle between the incident central transmission path of the narrowband pilot signal and a z-axis forward direction by using two subspace algorithms based on non-eigenvalue decomposition; and finally completing high-precision pairing of the two-dimensional arrival angles. The method has the advantage that high-performance unambiguous estimation of the two-dimensional angle of arrival can be completed with relatively low calculation cost and system overhead.