86 results about "Multipath propagation" patented technology

Certain aspects of the present disclosure provide techniques for obtaining one or more reference signals specific to a communication channel; inputting at least one characteristic associated with the one or more reference signals into a machine learning model that is configured to predict one or more channel parameters associated with multipath propagation characteristics of the communication channel; outputting, from the machine learning model, one or more predicted channel parameters specific to the multipath propagation characteristics of the communication channel; and performing channel estimation to generate a characteristic of the communication channel based on the one or more predicted channel parameters.

The invention relates to an ultrasonic phased array full-focusing imaging method for acoustic wave multi-path propagation compensation of a layered composite material, which is characterized by comprising the following steps of: arranging an ultrasonic phased array probe with N array elements on a composite material piece to be detected, obtaining complete echo data by taking each array element as a transmitting array element and taking all array elements as receiving array elements in sequence in a full-matrix acquisition mode; a two-dimensional pixel grid is established in an imaging area, a Monte-Carlo perturbation mechanism used for representing the acoustic wave propagation uncertainty in the layered composite material is introduced into a propagation model for each emission array element-receiving array element-pixel point combination, and the acoustic beam emission direction, the propagation path and the equivalent acoustic velocity are subjected to random perturbation, so that the acoustic wave propagation uncertainty in the layered composite material can be represented. Generating a plurality of equivalent sound wave propagation paths, calculating two-way propagation time of each path, and performing weighted statistics on energy contributions of different paths according to array element sound beam directivity to obtain equivalent propagation time delays of pixel points; and performing delay correction on a full-matrix echo signal by using the equivalent propagation time delay, and performing coherent superposition on signals of all transmitting-receiving array element combinations to realize dynamic focusing of a full-pixel grid, and finally reconstructing an ultrasonic full-focusing imaging image with high resolution and high signal-to-noise ratio. The time delay error caused by propagation path deviation and sound velocity non-uniformity in the layered composite material can be effectively compensated, the focusing precision and spatial resolution of full-focusing imaging are improved, meanwhile, an existing TFM imaging frame does not need to be changed, and the method has good engineering implementability and popularization and application value.

The invention provides a three-coordinate radar reverse modeling-based penetration aircraft detected probability calculation method, relates to the technical field of three-coordinate radar reverse modeling, and provides a multipath propagation factor dynamic correction model and an adaptive clutter suppression method through reverse modeling ship-borne radar power distribution characteristics and an environment coupling effect. And the calculation precision of the detection probability in a complex electromagnetic environment is improved. Based on a directional diagram propagation factor quantization radar wave attenuation law, and in combination with a sub-beam system constant inversion technology, the dependence of a traditional model on confidential parameters is broken through, and high-reliability simulation based on public parameters is realized. Through pre-generation of a typical scene database and cubic spline interpolation, dynamic response of a penetration strategy is supported, a multi-radar networking cooperative detection correction model is introduced, and a global detection blind area is identified.

The invention discloses a lightning disaster early warning method based on meteorological data. The method comprises the following steps: fusing meteorological data and topographic data, and generating a spatial-temporal distribution data set of atmospheric parameters and topographic features in a complex mountainous area environment through weighted stacking and spatial-temporal interpolation methods; analyzing an electromagnetic wave multi-path propagation effect according to the spatial-temporal distribution data set, calculating an attenuation coefficient with a high-frequency component greater than 1 gigahertz and a propagation loss with a low-frequency component less than 1 gigahertz, and generating a spectrum degradation preliminary quantization data set; and if a high-frequency component attenuation coefficient in the spectrum degradation preliminary quantization data set exceeds an attenuation threshold value, optimizing propagation path parameters through a genetic algorithm, generating a corrected spectrum degradation model and the like. The precision and the real-time performance of lightning disaster early warning in the complex mountainous area can be remarkably improved, and the disaster risk is effectively reduced.

The invention discloses a bionic joint humanoid robot navigation positioning method, device and equipment, and the method comprises the steps: monitoring a landing shock wave signal and reflection echo data of a robot, carrying out the time domain expansion of the shock wave signal to form a pulse characteristic spectrum, extracting multipath propagation components, and carrying out the time difference correlation to generate an environment response value. Screening a direct wave component by using an environmental response value, positioning a sound wave propagation trajectory, and detecting impedance mutation to construct an acoustic matrix. A strong reflection zone is identified through node analysis, a sound pressure gradient field is extracted to determine an obstacle boundary, and a landmark feature bit is determined in combination with an environmental response value. And adjusting a dynamic stride frequency interval based on a landmark feature bit, forming an adaptive detection sequence, and performing sparse processing to construct path configuration. The mechanical vibration component of the shock wave signal is used for piezoelectric conversion to generate recycled electric quantity, the recycled electric quantity is matched with path configuration power to determine a sensing period, intermittent sensing is executed to obtain detection data to construct a detection convergence field, and finally an accurate positioning window is determined and converted into position coordinates.

The invention discloses a non-line-of-sight moving target three-dimensional reconstruction method based on an MIMO millimeter wave radar, and is applied to the technical field of radar target detection in a complex urban environment. Aiming at the problem of difficulty in realizing three-dimensional reconstruction of a non-line-of-sight moving target in the existing radar target detection technology, the method comprises the following steps: firstly, establishing a non-line-of-sight multipath propagation model, and exporting a multipath signal model of an MIMO millimeter wave radar; the invention further provides a multipath signal departure angle (DoD) / arrival angle (DoA) unambiguous estimation algorithm, and solves the problem that a main lobe and a grating lobe are difficult to distinguish in the DoD / DoA estimation process of an existing commercial MIMO radar. And finally, proposing a path-oriented non-line-of-sight target three-dimensional positioning algorithm, respectively positioning the non-line-of-sight target by using different paths, and fusing different path positioning results to form a three-dimensional point cloud. According to the method, three-dimensional reconstruction of a plurality of non-line-of-sight moving targets can be realized, and the correlation problem between paths does not need to be considered.

The invention relates to the field of mine wireless communication security, and discloses a wireless instruction encryption method and system for mining intrinsic safety type equipment. The method comprises the following steps: collecting historical mine environment data and extracting features to obtain characterization environment description; constructing a nonlinear mapping function of the multipath propagation characteristic and the interference degree of the signal; collecting current environment data to calibrate the nonlinear mapping function to obtain a calibrated model; obtaining an encryption strength prediction value based on the current environment data in combination with the calibrated model; if the predicted value is lower than the encryption strength threshold value, key parameters are adjusted to generate optimized encryption configuration; based on the configuration, a support vector machine is adopted to classify the dynamic environment data, an interference area is divided, and an adjustment coefficient of the interference area is determined; and adjusting the encryption parameter in real time according to the coefficient to obtain an encryption strength adjustment scheme matched with the actual demand. According to the method, the problem that the wireless instruction encryption strength is not matched in a complex mine environment is solved, and the wireless instruction transmission safety and adaptability are improved.

The invention discloses a low-orbit satellite Doppler frequency offset pre-compensation dynamic optimization algorithm, which comprises the steps of multipath signal separation and path identification: identifying a line-of-sight path and at least one non-line-of-sight reflection path through power delay spectrum analysis of satellite receiving signals, wherein the signal power of the non-line-of-sight reflection path is not lower than-10dB of the line-of-sight path power; and reflection path geometric parameter extraction: based on time delay information of each path in the power time delay spectrum, reversely deducing propagation distances corresponding to a line-of-sight path and a non-line-of-sight reflection path, calculating a direct distance between the satellite and the terminal and a total distance of a reflection path from the satellite to a reflection point and then to the terminal by combining satellite orbit parameters and real-time position information of the terminal, and calculating geometric parameters of the reflection path. According to the method, the multi-path scene compensation precision is improved, the limitation that only the sight distance path is compensated traditionally is broken through by independently identifying the non-sight distance reflection path and establishing the exclusive frequency offset model, the frequency offset superposition error caused by multi-path propagation is solved, and the demodulation error rate in a complex environment is remarkably reduced.

The invention relates to an underwater sound source localization method based on frequency domain feature enhancement and multi-scale wavelet convolution, and the method comprises the steps: collecting an original sound pressure signal, carrying out the frequency domain feature enhancement, and generating a feature enhancement graph; the feature enhancement image is input into an underwater sound source positioning model, the distance and depth of a sound source are output, and the underwater sound source positioning model is used for carrying out feature extraction and target positioning on the feature enhancement image. Aiming at the complex challenges of strong underwater environment noise interference, obvious multipath propagation effect, time-frequency attenuation and the like, the invention provides a frequency domain feature enhancement technology to improve model positioning precision, and multi-band features of acoustic data are effectively extracted by fusing wavelet convolution and multi-scale convolution so as to accurately capture spatial distribution characteristics of the acoustic data.

The invention relates to a model-based method for determining false detections during radar detections in radar data, in conjunction with cross paths which arise on account of different transmit and receive angles of paths for a radar target, in which method a radar cube having range-Doppler cells is generated by Fourier transform on the basis of the radar data, wherein first a range and then a Doppler Fourier transform is carried out, such that channel data are thereby available for each range-Doppler cell, wherein false detections are determined via the channel data of a plurality of neighbouring range-Doppler cells, in that multi-dimensional models for multipath propagation spanning said range-Doppler cells are used to determine the detection parameters range, Doppler and angle of the detections, wherein the following models are used as models for multipath propagation: - a multipath model, which comprises a direct path, an indirect path and an associated cross path for a radar target; and / or - a cross path model, which comprises only one cross path for a radar target (and no direct or indirect path); and / or - a plurality of individual target models, which comprise a plurality of direct independent paths or a plurality of independent radar targets.

The invention discloses a UWB single base station-based positioning method, system and device, a medium and a product, and relates to the technical field of positioning, and the method comprises the steps: comparing the position deviation of UWB initial positioning data and IMU positioning data with a set threshold value, and judging whether the UWB initial positioning data is abnormal or not; when the data is abnormal, performing strong compensation on the UWB initial positioning data by using IMU positioning data based on a Kalman filtering method; when the data is normal, performing weak compensation or non-compensation on the UWB initial positioning data by using IMU positioning data by adopting a weighted average method; when the UWB signal of the positioning tag is lost by the UWB single base station, the IMU positioning data is used as a positioning result, the UWB initial positioning data is corrected by using the IMU positioning data, the UWB single base station positioning data drift caused by factors such as multipath propagation and non-line-of-sight propagation can be effectively inhibited, and the positioning accuracy is improved.

The invention discloses a cloud computing analysis method based on a time mark pulse sequence, and belongs to the technical field of signal processing. The method is used for solving the technical problems that in an existing scheme, delay nonlinearity caused by multipath propagation is not considered, and effective decoupling cannot be achieved due to a coupling effect existing in atomic clock error estimation and system deviation. A direct component and a scattering component can be distinguished through time scale layered mapping, and the amplitude-phase-frequency coupling effect of multi-path propagation is covered by fusing the three-dimensional characteristics of delay inequality, amplitude attenuation and frequency drift; the nonlinear mapping capability of the hyperbolic tangent kernel function is superior to that of a linear model, and the hyperbolic tangent kernel function can adapt to time delay nonlinear change in a complex electromagnetic environment; clock error, time delay parameters and system deviation are modeled in a unified mode, error accumulation caused by traditional separation estimation is avoided, variable dependency is quantized through an information theory tool, mutual information decoupling is achieved, robustness is enhanced, and a decoupling result directly corresponds to an atomic clock core index and system interference.

The invention provides a system for adjusting ship data transmission in real time according to a ship navigation state, and relates to the technical field of ship data transmission. The system comprises a ship data acquisition module, a signal processing module, a data transmission adjustment module, a multi-node data transmission module, a feedback control module and a shore end receiving module. According to the invention, the signal processing module fuses sensor signals through a self-adaptive weighting algorithm and performs noise reduction through Kalman filtering, so that the data accuracy and the system robustness are improved; the multi-node data transmission module is used for avoiding single-point faults, improving transmission reliability and fault tolerance, realizing higher throughput, enhancing anti-interference capability and flexibility and reducing navigation risks by constructing a plurality of parallel transmission paths; the multi-path propagation increases signal receiving energy, improves signal strength and quality, provides signal redundancy, dynamically adjusts a transmission path to avoid network congestion and transmission delay, and can improve real-time performance and reduce ship operation cost.

The invention discloses a wireless communication spectrum space digital twinning method, which comprises the following steps of: generating basic static channel characteristics under a given environment model and a base station deployment condition; wherein the static channel characteristics comprise a path loss distribution characteristic, a shadow fading characteristic and a multipath propagation characteristic; associating the static channel feature with target vehicle information, and generating a single-frame channel feature when a vehicle exists; and capturing dynamic evolution information of channel characteristics in a vehicle movement process, and expanding the single-frame channel characteristics into sequential dynamic channel characteristics to obtain a digital twinborn model of a dynamic scene spectrum space. According to the method, the influence of a dynamic blocking body can be further considered on the basis of static channel generation, channel feature generation in a dynamic environment is realized, and the reality sense and application applicability of digital twinning are remarkably improved.

The invention provides an indoor positioning method and apparatus, an electronic device, a storage medium and a product. The method comprises the steps of receiving a signal transmitted by a to-be-positioned device; performing sparse channel estimation on the received signal by adopting a channel estimation algorithm based on a compressed sensing recovery algorithm to obtain channel state information; and performing position estimation based on the channel state information, and determining the indoor position of the to-be-positioned equipment. According to the method, the effective signal path in the indoor environment is extracted by utilizing sparse channel estimation, so that the influence of multipath propagation and signal attenuation on positioning can be reduced, and the accuracy of indoor positioning is improved; by using the channel estimation algorithm based on the compressed sensing recovery algorithm, more accurate channel estimation can be executed, and more accurate channel state information is obtained for indoor positioning, so that the efficiency and accuracy of indoor positioning are further improved.

The utility model provides an OTA test darkroom integrated with an environment simulation function, which comprises a darkroom body, a test mechanism for placing an object to be tested is arranged in the middle of the inner side of the darkroom body, an adjusting mechanism is arranged on the inner side of the darkroom body, the adjusting mechanism is distributed in the darkroom body in a mirror image manner, and an antenna mechanism for testing the object to be tested is arranged in the middle of the adjusting mechanism; the adjusting mechanism comprises electric guide rails, adjusting plates and mounting arc-shaped plates, the electric guide rails are arranged at the top and the bottom of the inner side of the darkroom body in a mirroring mode, the adjusting plates are arranged on the sides, away from the darkroom body, of the adjusting plates, and the adjusting plates and the electric guide rails are clamped and slide. According to the utility model, the adjusting mechanism controls the antenna mechanism to move horizontally, and cooperates with the antenna main body in the antenna mechanism to lift and rotate above the mounting arc-shaped plate, so that the antenna main body can be adjusted and tested in multiple directions when testing an object to be tested, the multipath test of the antenna main body is facilitated, and the test efficiency is improved. And complex multipath propagation simulation is realized.

An information display device is a device worn on a user's head. Here, the information display device includes a processor and an antenna capable of receiving multipath propagating radio waves. The processor analyzes the multipath propagation information of the radio waves received by the antenna. If the processor detects the presence of a moving object based on the analysis results, it alerts the user.

The application is suitable for the field of wireless communication technology, and provides a kind of air-ground channel dynamic modeling method and system for high maneuverable unmanned aerial vehicle, the method includes the following steps: constructing unmanned aerial vehicle dynamics model, and quantifying the antenna position offset caused by unmanned aerial vehicle attitude change;Based on terrain data and obstacle data, a three-dimensional digital scene model that restores the real scene is constructed, ray tracing method is used to simulate multipath propagation, and channel statistical characteristic parameters are extracted;A statistical model of unmanned aerial vehicle jitter characteristics is constructed, and the position offset of unmanned aerial vehicle under the action of jitter is quantified;According to unmanned aerial vehicle dynamics model, channel statistical characteristic parameters and the statistical model of unmanned aerial vehicle jitter characteristics, the channel model that fuses attitude dynamics and jitter effect is constructed by using analytical method.The method solves the problem of how to fully consider attitude dynamics and jitter effect to accurately model channel characteristics and quantify key parameters in unmanned aerial vehicle communication, and has high applicability to complex and variable unmanned aerial vehicle communication scenarios.

The application provides a kind of slope three-dimensional deformation non-contact measurement method and system based on navigation reflection signal, belong to remote sensing technical field, including: constructing slope signal reflection model;Collect direct signal and multiple reflection signals, carry out multi-channel file reading and separation to direct signal and reflection signal, calculate the carrier phase difference of direct signal and reflection signal, carry out inversion to multiple carrier phase differences between adjacent transmission periods, obtain reflection signal multipath propagation distance variation;Reflection signal multipath propagation distance variation is substituted into slope signal reflection model to obtain reflection surface deformation variable-reflection signal propagation distance variation equation, and the reflection surface deformation variable-reflection signal propagation distance variation equation is inverted to obtain the inversion result of slope three-dimensional deformation variable.The application uses satellite navigation signal and multiple reflection antennas to calculate slope deformation variable, realizes low-cost, non-contact and high-accuracy slope three-dimensional deformation inversion process.

Method for determining the antenna gain of an antenna (21) to be tested in free space, wherein the method comprises the following steps: Acquisition of measurement results of a transmitted power of a measurement signal (24a, 24b) transmitted between a reference antenna (22) and an antenna to be tested (21); Determining an input reflection factor ( P e _ TP e _ R ) | P g _ R = 0 the antenna (21) to be tested and an input reflection factor ( P g _ TP g _ R ) | P e _ R = 0 the reference antenna (22); Detecting polarization losses based on an angle between the unit vector of the electric field vector (p̂) T ) the antenna (21) to be tested and the electric field vector (p̂ R ) the reference antenna (22); where the detection takes place in the frequency domain; Converting the recorded measurement results into the time domain; Applying a time domain filter (26) to the measurement results converted into the time domain, wherein a filter width of the time domain filter (26) is determined as a function of a spatial distance (r) between the reference antenna (22) and the antenna (21) to be tested, so that measurement result components (24b) resulting from multipath propagation of the measurement signal (24a, 24b) between the reference antenna (22) and the antenna (21) to be tested are reduced or removed; Converting the filtered measurement results into the frequency domain; and Determining the antenna gain G T (ϑ, φ) of the antenna (21) to be tested, taking into account the recorded input reflection factors and polarization losses, based on the filtered measurement results available in the frequency domain using the following equation: GT ( ϑ , ϕ ) = 10 log 10 ( P _ TP g _ R ) − 20 log 10 ( λ 4 π r ) − GREF ( ϑ , φ ) − ( 10 log ( 1 − ( P _ TP g _ R ) | P g _ R = 0 ) + 10 log ( 1 − ( P g _ TP g _ R ) |. P _ R = 0 ) + 20 log |

The invention discloses a method for tracking an unknown multi-target motion track in a non-line-of-sight scene, and the method comprises the steps: collecting a target echo signal in a non-line-of-sight region through employing a frequency modulation continuous wave radar, carrying out the preprocessing of the echo signal, and obtaining a time distance map containing the motion features of a human body target; an improved self-adaptive trace extraction algorithm based on gridding and conditional constraint is adopted to extract a target motion trace; by adopting the fusiform front trace energy suppression algorithm provided by the invention, cross interference among different traces is reduced; according to the Doppler consistency in the trace segments and the Doppler similarity between the traces, trace attribution judgment and target attribution judgment are completed, and meanwhile target counting is completed; determining each multi-path echo order by adopting a trace order matching algorithm; and an elliptical cross positioning algorithm is adopted, and a multipath propagation model is combined to complete target positioning and reconstruct a target motion trail. The method is suitable for tracking unknown multi-target motion tracks in a non-line-of-sight scene, has the advantages of no need of target prior information, high robustness, high precision and the like, and can be widely applied to the fields of automatic driving, security monitoring, disaster rescue and the like.

The invention discloses a test method, device and equipment for response time of wireless communication equipment, and relates to the technical field of wireless communication. The method comprises the following steps: sending a test signal to a to-be-tested wireless communication device in a preset sending mode, and recording a sending moment when the test signal is sent; receiving a response signal returned by the to-be-tested wireless communication equipment based on the test signal, and recording a receiving moment of receiving the response signal; obtaining initial response time according to the sending time and the receiving time; and determining compensation correction time, and performing compensation correction on the initial response time based on the compensation correction time to obtain target response time. The target response time obtained at the moment is obtained through dynamic hardware delay calibration, multipath propagation delay modeling, protocol stack delay decomposition, dual-mode clock synchronization and an anti-interference combined triggering mechanism, and the defects of a traditional testing method in the aspects of precision, reliability and scene adaptability are overcome. And a guarantee is provided for research, development and authentication of high-real-time wireless communication equipment.

The invention discloses an offshore microwave signal time-frequency joint equalization method, system and device based on a Transform model and a medium, and belongs to the technical field of deep learning models and signal processing, and the method comprises the steps: collecting and preprocessing offshore microwave radio frequency signal data, and obtaining a complex baseband signal sequence; generating a time-frequency spectrum matrix; constructing an auxiliary feature vector sequence; dividing the auxiliary feature vector sequence into time frequency units to form a token sequence; the token sequence is input into an improved Linformer-Transformer model, and a hidden representation sequence is obtained; outputting a combined equalization coefficient vector; carrying out amplitude-phase correction to obtain a balanced complex baseband signal sequence; and obtaining an equalized time-frequency spectrum matrix and a reconstructed complex baseband signal sequence. According to the invention, time-frequency joint equalization of signals is realized, the transmission reliability and signal quality of offshore microwave communication are improved, and the problems of amplitude distortion and phase distortion caused by multipath propagation, frequency selective fading and phase random drift in an offshore microwave channel are effectively solved.

The invention discloses a super-resolution combined time delay-Doppler estimation method for a double-station cooperative sensing system, which comprises the following steps of: 1, modeling for a double-station cooperative sensing channel, and establishing a double-station sensing channel model containing multipath propagation, time delay and Doppler parameters; 2, carrying out 2D-FFT (fast Fourier transform) preprocessing to quickly obtain a coarse-grained time delay estimation value, a Doppler estimation value and a rough parameter range, and providing an initial estimation reference for a refined grid and SBL estimation; step 3, on the basis of the rough estimation range obtained in the step 2, refining grid sampling positions on a time delay domain and a Doppler domain, and constructing a dictionary matrix and a sparse modeling framework required by sparse estimation; 4, introducing a Root-SBL algorithm, and carrying out the super-resolution estimation of the time delay through a frequency domain signal structure; step 5, introducing a Root-SBL algorithm, and performing super-resolution estimation on Doppler by using a time domain signal structure; and step 6, in combination with an initial parameter matching result obtained by 2D-FFT, matching a multi-target high-precision time delay-Doppler estimation result, and ensuring multi-target matching correctness and parameter estimation consistency and physical interpretability. According to the invention, the stability and robustness of the sensing system in a low signal-to-noise ratio and multi-path complex environment can be improved.

The invention relates to the technical field of wireless communication, in particular to an intelligent base station antenna system, which comprises a multi-source sensing fusion step: acquiring base station work parameters and a terminal measurement report in real time, analyzing and extracting signal features and performing time sequence alignment, and generating a multi-dimensional sensing data set; a space-time topology reconstruction step: performing multipath propagation environment inversion based on the data set, and constructing a three-dimensional telephone traffic thermodynamic diagram reflecting the user density in a three-dimensional space; interference potential energy analysis: simulating beam overflow based on the thermodynamic diagram, calculating overlapping coverage and generating an interference potential energy evaluation result; an intelligent decision optimization step: constructing a multi-objective optimization function, and carrying out global search to solve optimal antenna weight configuration containing amplitude and phase weight; a self-adaptive reconstruction execution step: converting the weight into a beam forming instruction, driving an antenna to adjust a radiation pattern and monitoring performance in real time; according to the invention, a traditional rigid mode is broken, automatic adjustment of the coverage envelope along with traffic flow is realized, and the overall capacity of the network is improved.

The present invention relates to the field of data analysis in electronic warfare simulation, and specifically to a real-time analysis method and system for multi-target interference effects in electronic warfare simulation. The method constructs a dynamic multipath channel model by obtaining the multipath propagation parameters of each interfering target in the target area; simulates the time-domain superposition process of the interfering signal waveform and the real signal waveform at the receiving end according to the dynamic multipath channel model, obtains the composite signal at the receiving end and extracts the signal characteristic parameters; obtains the dynamic interference effectiveness value of the interfering target through weighted fusion of the signal characteristic parameters; adjusts the transmission parameters according to the comparison relationship between the dynamic interference effectiveness value and the preset interference effectiveness threshold; when the dynamic interference effectiveness value of the interfering target is greater than or equal to the preset interference effectiveness threshold, the transmission parameters are output as interference strategy parameters. It solves problems such as signal inaccuracy and one-sided interference evaluation in complex electromagnetic environments, and significantly improves the accuracy and battlefield adaptability of interference effect analysis.

Embodiments of the disclosure describe a method for dynamically configured beam forming that mitigates remote interference experienced by a second base station (200) while scheduling at least one of uplink and downlink transmission for a plurality of UEs (201) associated with the second base station (200). The method includes receiving a plurality of Radio Frequency (RF) signals from a first base station (100). The plurality of RF signals is traversed through a multipath propagation channel and has been interfered by the atmospheric ducting propagation. The method includes determining a multipath channel impulse response (Hij) corresponding to each path and scatterer associated with the plurality of received RF signals. The method includes dynamically configuring beam forming for the plurality of UEs (201) associated with the second base station (200). The beamforming is dynamically configured based on the multipath channel impulse response (Hij).

The invention discloses a robust ellipse positioning method and device based on sparse regularization and ADMM. The method comprises the following steps: acquiring known parameters required when a target is positioned by using an ellipse positioning method; the known parameters are substituted into the BR measurement abnormal value number optimization problem; according to the BR measurement abnormal value quantity optimization problem, under the constraint condition that dense inner circumference noise energy is bounded, the sparse regularization optimization problem of the target position and sparse abnormal noise is solved with the purpose of minimizing the sparse abnormal noise quantity; the sparse abnormal noise is a measurement error generated by external environment interference and multipath propagation; and solving the BR measurement abnormal value quantity optimization problem based on an ADMM algorithm, and finally obtaining a target positioning result. According to the method, the influence of the BR measurement abnormal value is effectively inhibited, the robustness and the target positioning precision of the ellipse positioning method are remarkably improved, and the method is more efficient and more suitable for real-time online processing.

The invention discloses an electromagnetic propagation response prediction method and device of a target object. The specific technical scheme comprises the steps of obtaining geometric structure information, sending equipment position information and receiving equipment position information of the target object and multipath propagation parameters corresponding to the target object; determining structure nodes and structure edges according to key position point information in the geometric structure information and connection relation information among the key position point information; according to the position information of the sending equipment, the position information of the receiving equipment and response information of the structure nodes to the electromagnetic signals, constructing propagation nodes and propagation edges to obtain multipath propagation graph structure data; performing graph convolution processing on the multipath propagation graph structure data to obtain multipath propagation graph geometric features; and performing mapping operation on the geometrical characteristics of the multipath propagation graph to obtain a predicted electromagnetic propagation response corresponding to the target object. Thus, electromagnetic propagation response prediction is performed by using the structural features and the reflection features of the target object, and the accuracy of the prediction result is improved.

The invention discloses a reinforcement learning-based low-altitude unmanned aerial vehicle radar anti-interference method, and aims to solve the problems of training window pollution, covariance estimation mismatch and high false alarm rate caused by low-altitude multipath and ground object strong clutter superposition interference. According to the method, disturbance superposition is carried out on training echoes by constructing a disturbance parameter set of multipath propagation disturbance, ground clutter disturbance and interference disturbance to generate adversarial echo data, and a reinforcement learning decision module and a deep expanded robust space-time suppression network are jointly trained according to the adversarial echo data; during online operation, a distance Doppler map is generated for a current echo, state features such as clutter intensity, spectrum broadening, multipath degree and interference degree are extracted, a reinforcement learning decision module outputs a training sample mask and a space-time suppression parameter, short-time and long-time covariance is calculated based on mask weighting and fused by a gating coefficient, and a target object is obtained. And inputting the depth expansion network to obtain a space-time filtering weight, completing space-time suppression and performing target detection, thereby realizing the technical effects of improving the covariance estimation stability, reducing the false alarm rate and enhancing the anti-interference robustness in a non-stationary clutter and multipath scene.