349 results about "Multipath interference" patented technology

The invention discloses a multi-unmanned aerial vehicle cluster cooperative positioning method based on multi-sensor fusion, and the method comprises the following steps: S1, collecting and processing the multi-sensor data of unmanned aerial vehicles, compensating VIO accumulated drift through fusing ultra-wideband ranging information, guaranteeing the time-space consistency of the multi-sensor data through employing a layered time synchronization strategy, and carrying out the collection and processing of the multi-sensor data of the unmanned aerial vehicles; suppressing multipath interference of the UWB signal and eliminating an NLOS error by using adaptive Kalman filtering, and obtaining initial positioning data of the unmanned aerial vehicle; s2, acquiring key frames of multiple unmanned aerial vehicles based on a window sampling method, and performing key frame optimization and outlier processing to balance noise suppression and real-time performance; and S3, constructing a factor graph model of the key frame data based on a graph optimization theory, and obtaining optimized cluster position information by solving a nonlinear least square optimization problem. The method effectively improves the accuracy and stability of multi-unmanned aerial vehicle cluster cooperative positioning, and can be applied to the fields of unmanned aerial vehicle logistics distribution, environment monitoring and the like.

The invention provides a city hidden unmanned aerial vehicle identification method and system. The method comprises the following steps: acquiring geometric morphology and material dielectric constant data of an urban building group, and generating a building material reflection parameter set; secondly, based on reflection parameters, millimeter wave frequency band combinations adaptive to building attenuation characteristics are screened, millimeter wave signals are directionally transmitted, reflection components of metal parts and unmanned aerial vehicle composite materials are separated, and a three-dimensional millimeter wave imaging map fused with multipath interference suppression parameters is generated; collecting a radio frequency signal, compensating path loss by using scattering phase offset, extracting a harmonic component of a propeller motor and a frequency hopping residual component of a communication module, and generating a time-space synchronous radio frequency fingerprint coding sequence; through constructing a millimeter wave and radio frequency coupling model, cross validation is carried out on a reflection component and a harmonic component, and accurate identification of the hidden unmanned aerial vehicle in the urban building group shielding area is realized. According to the invention, the urban hidden unmanned aerial vehicle identification precision is improved.

The invention relates to the technical field of learning methods, in particular to an OPGW heterogeneous detection method based on AI interference elimination, which comprises the following steps: acquiring a vibration signal segment, dividing mutation fragments, arranging channel sequence, comparing direction extension, extracting a direction change homing path segment, analyzing an offset trend positioning response area, and extracting fluctuation trend verification interruption. And combining state feature merging numbers, identifying a jump sequence and analyzing a switching relation, and obtaining disturbance boundary features. According to the method, a path chain is constructed through sudden change signal position division and a channel response sequence, a disturbance propagation starting point and an extension direction can be subjected to structured expression, a path segment corresponding to continuous direction change supports limitation of a response interval, a fluctuation trend and direction offset are combined to form segmented reference, and identification of characteristics of boundary evolution along with time is assisted; the hopping sequence in the tail end signal is used for restoring the disturbance boundary and enhancing the trajectory separation and feature retention capability of the multipath interference behavior in the differentiated environment.

The invention relates to a space-ground integrated Beidou high-precision positioning method applied to urban canyons, and belongs to the technical field of navigation positioning. The method comprises the following steps: deploying a pseudo satellite base station, calibrating coordinates of the base station through carrier phase difference, and monitoring the number of Beidou visible satellites; a master pseudo-satellite is determined, timestamps and ephemeris data are broadcasted to slave pseudo-satellites through Beidou short messages, and the slave pseudo-satellites are combined with bidirectional ranging data to correct a local clock to realize high-precision synchronization; receiving Beidou and pseudo-satellite signals by a user terminal, screening effective observation values through a shielding judgment mechanism, substituting the effective observation values into a non-difference observation equation in combination with pseudo-satellite reference difference data, and resolving a fusion result through an elastic coupling mode; and finally, multi-path interference is identified by using pseudo-satellite double antennas, and historical data is called to construct an error model to correct a fusion result. The space-ground integrated positioning of Beidou and pseudo satellites in an urban canyon scene is realized, the centimeter-level positioning precision is stably output, and the high-precision positioning requirements of urban traffic, surveying and mapping and the like are met.

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 high-feature-resolution underwater weak target parameter estimation method based on NOMP, and the method comprises the steps: obtaining a receiving array signal, carrying out the preprocessing of the receiving array signal, carrying out the azimuth angle estimation through employing a conventional beam forming algorithm, and extracting a beam output signal in a main target direction; rough search is carried out on discrete time delay and Doppler factor grids, initial parameters of a current most significant path are estimated, continuous optimization is carried out through a Newton iteration method, and optimized path parameters are obtained; constructing a continuous path echo signal according to the received signal, deducting the contribution of the current path to the received signal from the received signal, updating a residual signal, and continuously searching the next path by taking the residual signal as a new input signal until an iteration termination condition is met; and outputting parameter estimation results of all paths. According to the method, high-precision and high-resolution extraction of weak target parameters can be realized in an environment with a low signal-to-noise ratio and remarkable underwater multipath interference.

The invention provides an underwater positioning system combining sound ray propagation modeling and multipath interference suppression, which relates to the technical field of marine equipment and comprises a self-adaptive underwater sound sensing and environment cognition module, an environment self-adaptive sound ray propagation modeling module, a multipath suppression and direct wave extraction module and a multi-dimensional information fusion and self-adaptive positioning calculation module. The self-adaptive underwater sound sensing and environment cognition module is used for realizing multi-mode sensing and real-time environment feature recognition of underwater sound signals, and the environment self-adaptive sound ray propagation modeling module is used for constructing a dynamically updated sound wave propagation model and providing a propagation path and time constraint for positioning calculation; the multi-path suppression and direct wave extraction module is used for carrying out multi-path signal separation and extracting direct wave features with confidence marks, and the multi-dimensional information fusion and self-adaptive positioning calculation module is used for completing high-precision positioning calculation; according to the system, deep fusion of an environment model and signal processing can be realized, and the positioning precision and robustness of the underwater vehicle in a complex underwater sound environment are remarkably improved.

The invention discloses a multipath interference suppression method and device during in-pipe detection and a storage medium, and belongs to the technical field of radar signal processing. According to the method, a CFAR detection and clustering algorithm combined method is adopted, and the target number and the center frequency are automatically extracted from a radar amplitude-frequency signal; an original noisy signal is decomposed into a target number of modal components by using an improved variational modal model, and an improved power reference analysis method is proposed to divide the modal components into effective modals and ineffective modals; sVD noise reduction is carried out on the effective mode; and performing signal reconstruction on the plurality of modal components after SVD noise reduction to obtain a signal after multipath interference suppression. According to the method, the problem that the decomposition number and the center frequency of the variational mode decomposition algorithm are difficult to determine is effectively solved, the influence of inaccurate parameters is reduced, multipath interference suppression during complex environment detection is facilitated, and the effectiveness of the algorithm is verified through actual measurement.

The invention relates to the technical field of equipment positioning, and discloses a multi-mode positioning method and system based on intelligent wearable equipment, and the method comprises the steps: receiving a Beidou satellite signal and a GPS satellite signal, and executing the sparse channel estimation, and obtaining a channel parameter; identifying and suppressing multipath interference according to the channel parameter to obtain a purified signal; separating the purification signal into Beidou observation data and GPS observation data, and carrying out cross correction calculation to obtain position information; and performing channel state prediction based on the position information and the channel parameters, and compensating positioning calculation at the next moment to obtain a target positioning result and a communication transmission scheme. According to the invention, the complementary advantages of two sets of Beidou and GPS systems are fully utilized, the GPS clock error offset is corrected by using the time service precision of Beidou, the positioning precision of the intelligent wearable device is improved, and the power consumption is reduced.

The invention discloses a construction site personnel electric shock prevention early warning method and system fusing UWB and AI. The method comprises the following steps: acquiring data of spacing between personnel and electrified equipment in real time, eliminating multipath interference by adopting a subspace projection algorithm, and generating an optimized distance in combination with a self-adaptive Kalman filtering algorithm; constructing a multi-dimensional trend vector fusing the distance change rate, the environmental parameters and the equipment voltage, and inputting a voltage-sensitive LSTM model to predict a dynamic risk probability; and calculating a dynamic safety threshold based on voltage-risk nonlinear mapping, and triggering a three-level early warning mechanism. Through multi-path interference suppression, dynamic risk assessment and a grading early warning system, accurate safety management and control in a high-risk environment are realized, the early warning precision and response speed of a high-voltage operation scene are remarkably improved, and the false alarm rate is reduced to 3% or below.

The invention provides an unmanned aerial vehicle dual-polarized antenna multipath interference suppression and polarization mismatch joint optimization algorithm, and relates to the technical field of low-altitude communication, and the algorithm carries out the coupling modeling of a multipath interference problem and a polarization mismatch problem through building a unified dual-polarized channel model which considers multipath propagation and time-varying polarization characteristics; an adaptive polarization state estimation method based on received signal covariance matrix feature analysis is provided; a combined space-time-polarization domain adaptive filter structure is designed; a joint optimization objective function containing a minimum mean square error and a maximum polarization matching degree (MPM) is constructed; a low-complexity adaptive weight updating rule based on a recursive least square (RLS) thought and integrated with polarization constraints is deduced. According to the algorithm, interference suppression and polarization matching are collaboratively optimized through a unified framework, the complexity is reduced by adopting recursive calculation, rapid convergence and strong environmental adaptability are realized, and the low-altitude communication performance of the unmanned aerial vehicle is remarkably improved.

The invention discloses a data reading method and system based on an RFID reader-writer, particularly relates to the technical field of radio frequency identification data acquisition, and is used for solving the problem that the communication reliability of an existing RFID system is reduced due to carrier frequency deviation and multipath interference in a high-speed mobile environment. A phase change characteristic and an error rate index are obtained through double-antenna receiving signal analysis, when the error rate exceeds a limit, spatial correlation and error rate distribution difference are jointly analyzed to determine a multipath interference level, and meanwhile, a relative motion state is detected and judged through a phase track curvature characteristic. And dynamically selecting an optimal modulation coding mode to read data again according to the calculated motion speed estimated value and the interference level, thereby realizing the optimal balance between the communication rate and the reliability in the mobile environment.

The invention provides an underwater positioning system based on effective sound velocity compensation and multipath equalization, which relates to the technical field of marine equipment and comprises an environment sensing and modeling module, a signal propagation characteristic analysis module, an intelligent signal processing and distance measuring module and a fusion positioning and quality evaluation module. The environment sensing and modeling module is used for constructing a dynamic three-dimensional sound velocity field and evaluating the reliability of the environment, the signal propagation characteristic analysis module is used for establishing a multi-path propagation model and extracting path characteristic parameters, and the intelligent signal processing and distance measuring module is used for suppressing multi-path interference and realizing high-precision distance measuring calculation. The fusion positioning and quality evaluation module is used for multi-source information fusion positioning and forming a quality feedback closed loop; the system can effectively cope with sound velocity temporal and spatial change and multipath interference in a complex marine environment, remarkably improves the precision, stability and robustness of underwater positioning of the underwater vehicle, and is suitable for the fields of deep sea detection, ocean engineering and the like.

The invention belongs to the technical field of wireless communication, and discloses a CNN-Transform direction estimation method based on covariance-unitary matrix input, and the method comprises the following steps: generating received signal sample data of different incident angles; calculating a covariance matrix for a received signal sample, performing singular value decomposition, extracting real parts and imaginary parts of the covariance matrix and a unitary matrix, and constructing a four-channel two-dimensional real number tensor as input; extracting local spatial features and coherence structures through CNN; serializing the feature map and adding a position code; a Transform encoder module is input, and global spatial dependence is modeled; carrying out average pooling and full-connection classification on the output to realize direction angle prediction; and training is carried out by adopting cross entropy loss, an AdamW optimizer and a cosine annealing learning rate scheduler. According to the method, local and global features are fused, and the method has high precision, strong robustness and excellent generalization ability in complex environments of low signal-to-noise ratio, multipath interference and the like.

The invention discloses a low-altitude aircraft airway meteorological data acquisition and processing method, and relates to the technical field of airway meteorological data acquisition, and the method comprises the following steps: obtaining a carrier phase observation value of a target satellite from a GNSS receiver, recording a corresponding timestamp, and carrying out the original turnover ambiguity resolution of the obtained carrier phase observation value; carrying out first-order differential processing on carrier phase observation values of the same satellite at two continuous time points, and constructing an instantaneous carrier phase variation sequence reflecting the phase change rate; according to the invention, through carrier phase disturbance feature extraction and deep learning multipath risk prediction, dynamic weight adjustment of multipath interference satellites is realized, the system anti-interference capability and the data processing robustness are improved, the space mismatching and meteorological misjudgment risks are significantly reduced, and the positioning precision and the track sensing reliability in a complex environment are guaranteed.

The invention provides a GIS insulation defect evaluation method and device and electronic equipment, and relates to the field of data processing. According to the method, a cross-modal synchronous data stream formed by an ultrahigh frequency sensor and a mechanical vibration sensor on a GIS (Geographic Information System) is obtained, event slicing is firstly carried out, multi-dimensional features are extracted, and candidate events are screened in combination with a sparse labeling library; and generating a propagation time delay window and a path priority table by using a three-dimensional geometric model, completing cross-modal pairing and time registration, outputting a registration result, performing array manifold sparse reconstruction separation, and eliminating multipath interference to obtain purification components. And constructing a cross-modal event chain graph based on the purification components, executing spatial positioning and physical quantity inversion under the constraint of the chain graph, and finally generating a defect evaluation report in combination with a historical labeling result, thereby realizing high-precision detection and evaluation of GIS insulation defects. By implementing the technical scheme provided by the invention, the accuracy of insulation defect evaluation can be improved.

The invention relates to the technical field of communication, and discloses a wireless signal coverage enhancement system and method based on reinforcement learning, and the method comprises the following steps: fusing multi-source perception data of a laser radar, a camera and the like, extracting a terminal motion state and environment obstacle information in real time, calculating a relative motion parameter and collision time, and carrying out the real-time detection of the collision time; the method comprises the following steps: estimating a threat level according to the obstacle size and distance, outputting a quantitative threat index and a potential high-risk target, identifying an effective reflecting surface from point cloud data, constructing a time-varying diffraction topological graph according to the dynamic obstacle position, and predicting signal loss of each path by using a graph neural network. According to the method, the optimal diffraction path is predicted by sensing the motion trail of the high-speed dynamic obstacle in real time in combination with environmental electromagnetic characteristics, the beam forming and power strategy is dynamically optimized, the influence of multipath interference and penetration loss on the signal quality is suppressed, and the interruption recovery time can be shortened and the positioning precision and the communication reliability can be improved in a shielding scene.

The invention discloses a millimeter wave barrier gate radar multipath interference suppression method and device, and belongs to the field of millimeter wave radar signal processing. The method comprises the following steps: S1, generating an RD image by an echo signal, and executing 2D-CFAR detection to obtain a candidate target unit; s2, eliminating ground reflection (GB) through an RD domain multipath sensitive area mask (MVZ); s3, converting the candidate target unit into a Cartesian coordinate system point cloud; s4, through point cloud domain mirror symmetry verification, removing a pole side mirror image (PSR); s5, clustering the reserved point cloud to obtain a target cluster; s6, through vehicle contour modeling, constructing a rear suppression area to reject vehicle-brake box multiple reflections (VBR); and S7, outputting effective target information after tracking processing. The device comprises a radar radio frequency front end, a signal processing unit, a point cloud post-processing unit, a tracking and control unit and an embedded processing platform. Through a three-layer cooperative inhibition mechanism, three types of main multipath interferences of a barrier gate scene are comprehensively covered, the detection accuracy is improved, static targets are prevented from being mistakenly eliminated, the engineering practicability is high, and safe and reliable barrier gate control can be ensured.

The invention relates to the technical field of satellite navigation and intelligent positioning, and discloses an indoor positioning method and system based on Beidou double-frequency signals, and the method comprises the steps: receiving Beidou B1I and B1C double-frequency signals through adaptive signal enhancement and preprocessing; the double-frequency differential carrier phase extraction technology is adopted to form ionosphere-independent combined observed quantity, and ionosphere delay errors are eliminated. Multipath interference is identified and suppressed through a multipath suppression method based on statistical characteristics, and an extended Kalman filtering algorithm is adopted to fuse Beidou double-frequency observed quantity and IMU inertial data to realize multi-sensor information fusion positioning; according to the method, a soft constraint condition is established by utilizing geometric features of a building to optimize a positioning result, a multi-dimensional precision evaluation model is established to predict the positioning precision, and the result is adaptively output, so that sub-meter positioning precision and millisecond response time can be realized in a complex indoor environment, and an effective solution is provided for an indoor positioning technology.

The invention relates to a performance monitoring method of a forward transmission network, an optical module, equipment and a storage medium. The method comprises the following steps: acquiring an optical signal which is sent from a far-end radio frequency unit and is transmitted to a receiving unit of a performance monitoring optical module, and converting the optical signal into an electric signal; performing eye pattern analysis on the electric signal to generate an eye pattern distribution histogram; the eye pattern distribution histogram is used for representing distribution conditions of different signal amplitudes in different intervals; determining a multipath interference deformation factor according to the deformation condition of the eye pattern distribution histogram of the electric signal compared with the eye pattern distribution histogram before signal transmission; and determining a signal-to-noise ratio estimation value according to the multipath interference deformation factor, and determining a performance monitoring result of the forward transmission network according to the signal-to-noise ratio estimation value. By adopting the method, the link quality of the forward network can be accurately evaluated.

The invention discloses a low-slow small target detection and data fusion method based on 5G signals, and relates to a low-slow small target detection and data fusion method. The invention aims to solve the problems of low detection precision and difficulty in effective identification and tracking of the low-slow small target in the prior art. According to the invention, a 5G signal retroreflection detection system with separated transmitting end and receiving end is constructed, direct wave and multipath interference are eliminated by using 5G signal code division multiple access characteristics, and target position and speed information are obtained through two-dimensional matched filtering and two-dimensional sliding correlation processing; a 5G base station forward scattering detection system is established, and target detection is realized by analyzing target forward scattering signal characteristic parameters according to the Babinet principle; a specific data fusion algorithm is adopted to carry out fusion processing on heterogeneous data obtained by backward reflection and forward scattering, and accurate information such as target position, speed, attribute and the like is output. The invention belongs to the technical field of low-slow small target detection.

The invention discloses a gesture recognition method and system based on an active acoustic sensing field, and the method comprises the steps: transmitting a frequency modulation continuous wave through a loudspeaker on head-mounted equipment, and receiving an echo signal reflected by the hand of a wearer through a microphone on the head-mounted equipment; performing frequency mixing, low-pass filtering and analog-to-digital conversion on the echo signal to obtain a digital baseband signal; performing range correction and noise reduction processing on the digital baseband signal to obtain a hand echo signal; inputting a hand echo signal into the multi-scale time sequence encoder, and capturing long time sequence dependence to obtain multi-scale spatial-temporal characteristics; performing trajectory tracking on the multi-scale spatial-temporal features by the hand key point regression branches to obtain hand key point features; inputting the hand key point features and the multi-scale spatial-temporal features into the gesture recognition branch to obtain a gesture recognition result; according to the method, multipath interference and spatial fuzziness in the acoustic sensing process can be overcome, and high-precision and fine-grained gesture recognition is realized.

The invention belongs to the technical field of crown blocks, and provides a crown block real-time communication implementation method and system in an interference environment, electronic equipment and a storage medium, and the method comprises the steps of terminal control instruction execution, communication transmitting frequency band determination, state data packaging, beam direction adjustment, frequency hopping anti-interference analysis, strategy updating and abnormal emergency processing. Through a dynamic optimization mechanism of a frequency hopping communication strategy and a low-interference frequency hopping strategy prediction model, a current frequency band strategy is optimized in real time according to environment information and communication quality feedback, and the interference resistance of a communication frequency band is optimized; through a beam adjustment strategy and EOE protocol packaging, the signal strength is enhanced, signal attenuation and multipath interference are reduced, and the real-time performance of data transmission is improved.

The invention discloses an indoor navigation positioning precision improving method and system based on a filtering algorithm, and relates to the technical field of signal processing. The method comprises the following steps: suppressing signal fluctuation and multipath interference by adopting a Bluetooth positioning technology in combination with a segmented power law regression model and Kalman filtering; ultrasonic-assisted positioning is introduced, the distance is calculated through the time difference between pulses and Bluetooth, and the anti-interference capability is improved in cooperation with temperature correction and spectral analysis; multi-mode dynamic fusion is carried out, when shielding is little, Bluetooth positioning is corrected through high-precision ultrasonic waves, when shielding is serious, Bluetooth data is smoothed through moving average, and positioning coordinates are optimized in combination with a least square method; a base station and a reference object are marked through a vector map, the position of a terminal is dynamically displayed, and positioning reliability is visually presented through an error semitransparent circle; a positioning base station array, a mobile terminal and a rear-end processing module are integrated, and low-power-consumption multi-mode fusion positioning is achieved. The method reduces the positioning error in a complex indoor environment, and is suitable for scenes such as personnel / equipment real-time tracking.

The invention discloses a distance measurement control method for track mobile equipment based on millimeter wave secondary radar. The distance measurement control method comprises the following five steps: S1, a vehicle-mounted interrogator generates a coding interrogation signal of a millimeter wave frequency band and transmits the coding interrogation signal to a transponder deployed along a track; s2, after a transponder receives the inquiry signal conforming to the predefined coding format, a millimeter wave response signal carrying a unique identity label is generated; s3, the vehicle-mounted receiver extracts an identity label and carrier phase information in the millimeter wave response signal to form an accurate distance measurement value resisting multipath interference; s4, the control unit fuses the accurate distance measurement value and the data of the vehicle-mounted sensor to generate real-time pose information with millimeter-level precision; and S5, the execution mechanism adjusts the operation state of the mobile equipment according to the dynamic control instruction, and cooperative operation or accurate parking control of the track mobile equipment is achieved. According to the millimeter wave secondary radar-based distance measurement control method for the track mobile equipment, the problems of high-precision continuous distance measurement and anti-interference control of the track mobile equipment can be solved.

Disclosed in the present invention are a wide-angle scanning imaging device, method and system. The device comprises a sonar probe and a device body. The sonar probe comprises an acoustic array and a transceiving processing module. The acoustic array comprises a transmitting array and a receiving array. The transmitting array comprises a group of transmitting transducers. Maximum response axes of the transmitting transducers are distributed in the vertical direction according to preset tilt angles, and a plurality of transmitted beams of the transmitting transducers form wide-angle coverage in the vertical direction. The receiving array performs resolution in the horizontal direction by means of beamforming, and vertical orientations of echoes are estimated by means of double-array output phase differences. The acoustic array performs rotational motion along the central axis of the device body. The transmitting array transmits broadband orthogonal pulses according to a preset period, the receiving array receives echo signals, and the transceiving processing module processes the echo signals according to the central frequency of the transmitted pulses of the transmitting array to obtain an underwater target imaging result. The present invention reduces the impact of underwater multipath interference and the like on phase estimation and improves the 3D imaging quality.

The invention relates to the technical field of navigation, and particularly discloses a GNSS / INS integrated navigation dynamic error correction method and system, and the method comprises the steps: S1, receiving GNSS original data, and calculating multipath interference intensity; s2, three-axis accelerometer data and yaw velocity information are received, and corrected displacement is calculated; s3, a fuzzy C-means clustering algorithm is adopted, and the motion state is obtained according to the corrected displacement; s4, generating a signal quality threshold value and a motion state threshold value according to the motion state; s5, constructing an error decoupling matrix according to the multipath interference intensity, the corrected displacement, the signal quality threshold value and the motion state threshold value; and S6, performing navigation calculation after error compensation by using the error decoupling matrix. According to the method, accurate compensation of dynamic errors is realized through accurate decoupling analysis of the motion characteristics of the carrier, so that the adaptability and reliability of the GNSS / INS integrated navigation system in a complex environment are improved.

A Quantum Transceiver Antenna (QTA) is described which is a scalable, thin-film, bi-synchronous, multifrequency resonance antenna, made up of a layered matrix of antenna pixels of uniform size and shape, with voids and nulls in its pattern. On the QTA, electromagnetic signals gain coherence as toroidal geometries, that function as tunable, electromagnetic lenses, to simultaneously resolve and concentrate gain in the full spectrum of radio frequency signals. QTA transceives both particles and waves, and operates using quantum principles, including quantum tunneling whereby solid materials appear invisible, enabling non-line of sight communications, imaging, detection, Q-Tricity, immunity to multipath interference, and ground planes. One QTA replaces disparate antennas in a cell phone / electronic device and operates wirelessly with space-based platforms and terrestrial networks, plug and play, with low impedance, less power, at magnitudes of gain only possible using quantum principles. QTA is frequency dynamic providing mesh networks, IOT, Edge, AI connectivity, and emergency response interoperability solutions.

The invention discloses a wireless ranging method and system based on a programmable logic architecture, and belongs to the technical field of indoor positioning, and the method comprises the following steps: receiving an original data frame of a processing module, adding a synchronization frame header and a synchronization frame tail, then carrying out linear frequency modulation spread spectrum coding to form a ranging request frame, recording the sending time, and sending the ranging request frame to a target receiving end; after a ranging response frame is received, a decoded data frame is generated through decoding processing such as time domain filtering and peak detection, coherent accumulation is carried out by taking a first target code element as a reference, a target array is extracted, interpolation refining is carried out to obtain a fine time component, and the arrival time is obtained through multipath elimination. According to the method, main signal energy is enhanced through coherent accumulation, multi-path interference is suppressed in combination with interpolation refinement and time domain filtering, the time measurement precision is improved, and software and hardware cooperative efficient distance measurement is realized.

The invention discloses a sound source localization optimization method based on a distributed multi-microphone array, which relates to the technical field of sound source localization, and comprises the following steps: establishing a two-dimensional coordinate system, and deploying a plurality of microphone arrays with the same orientation in the coordinate system in a linear or rectangular manner; the portable forwarding device triggers and starts the arrays through infrared pulses, the multiple arrays synchronously collect sound source signals, acquire multichannel audio data and upload the multichannel audio data to the cloud server, and the cloud server calculates the time difference of the sound source signals reaching the arrays and estimates the azimuth angle of a sound source relative to each array. Calculating a reference point according to the azimuth angle rays of the array without the multipath effect, and eliminating false azimuth angle rays of the array generated by the multipath effect; the reference point is calculated again, then iterative calculation is carried out, the azimuth angle rays which deviate from the new reference point to the maximum degree are removed one by one till two azimuth angle rays are left, the intersection point of the two azimuth angle rays is calculated, and then the sound source coordinate value is obtained. According to the method, time difference calculation errors and multipath interference can be reduced, and the sound source positioning precision is improved.