52 results about "Radiolocation" patented technology

The invention discloses a broadcast type radio positioning system base station site selection analysis and evaluation method and system, and relates to the technical field of wireless positioning, and the method comprises the steps: building a radio ground base station deployment sample database and an elevation model database; based on a combined optimization strategy of a greedy algorithm and a genetic algorithm, selecting an optimal base station set covering a pre-working area from the database; constructing a three-dimensional evaluation system, and comprehensively evaluating the optimal base station set from three dimensions of deployment cost, system robustness and positioning precision; optimizing the base station set based on a digital twinning technology, wherein the optimization comprises multi-band signal emission modeling and machine learning recommendation of a historical case library; and dynamic presentation and parameter adjustment of a base station deployment effect are realized through a three-dimensional visual interface and an interactive sand table system. According to the method, a large-range working area can be well covered, the situation that a signal coverage blind area exists is avoided, then the working efficiency is improved, and flexible and efficient site selection evaluation on the radio ground base station in a local sudden battlefield can be achieved.

The invention discloses a multi-sensor fusion sensing precision self-adaptive system, and relates to the technical field of radio positioning and multi-sensor fusion sensing, the system integrates multi-source sensing units such as a laser radar and a GPS, establishes a unified reference by means of a space-time synchronization module to complete data alignment, and optimizes data quality through preprocessing means such as filtering and denoising; a dynamic weight fusion module allocates weights according to the real-time quality scores, and a unified sensing result is output by fusing the positioning and speed measuring results; through multi-dimensional index evaluation precision grade, self-adaptive adjustment of sensor parameters and fusion strategies, and balance of precision and energy consumption, a result is output in a standardized format, an operation state is fed back, and an external system is linked. According to the invention, through multi-sensing fusion and dynamic adaptive adjustment, the sensing precision and stability are significantly improved; the method can intelligently adapt to multiple scenes, resists interference, has fault-tolerant capability, adapts to new requirements through self-learning evolution, and provides reliable perception support for automatic driving, unmanned aerial vehicle surveying and mapping and the like.

The invention discloses an unmanned aerial vehicle multi-mode fusion radio positioning and signal identification method and system, and relates to the technical field of radio positioning and detection.The method comprises the steps that an airspace radio environment is continuously monitored in a monitoring area through all receiving stations, a power spectrum sequence and an unmanned aerial vehicle communication signal are obtained, and spectrum features are extracted from the power spectrum sequence; for the same launch event, acquiring a three-dimensional motion track of the unmanned aerial vehicle according to the arrival time of each receiving station; echo signals generated by unmanned aerial vehicle rotor wing and vehicle body movement are obtained through a radar, and micro-Doppler features are extracted from the echo signals; acquiring protocol related modulation features, cyclic spectrum features and protocol features according to the unmanned aerial vehicle communication signals; performing multi-modal feature fusion on the spectrum feature, the micro-Doppler feature, the modulation feature, the cyclic spectrum feature and the protocol feature to obtain a deep joint feature; identifying the type of the unmanned aerial vehicle according to the deep joint feature, and obtaining a type label; and constructing an unmanned aerial vehicle feature signature by using the category label, the three-dimensional motion trail and the depth joint feature. According to the invention, the accuracy, robustness and supervision capability of unmanned aerial vehicle positioning and signal detection in a complex environment can be improved.

Systems and methods related to visual guidance for improving autonomous navigation with row following corrections in stereo camera systems are disclosed herein. A visual positioning system may implement a method for navigating a vehicle. The method may comprise: receiving navigation coordinates defining a route comprising a straight path; detecting detected lines that are parallel to the straight path based on images received from at least one camera on the vehicle; accessing ground truth data; deriving vehicle coordinates from the ground truth data; determining a centerline in vehicle coordinates based on the detected lines; determining corrected vehicle coordinates based on the centerline in vehicle coordinates and the vehicle coordinates from the ground truth data; and generating control signals to navigate the vehicle along the route using the corrected vehicle coordinates. The visual positioning system may maintain localization accuracy and provide drift correction in the presence of poor GPS or radio localization.

The application belongs to the technical field of radio positioning and motion control, and specifically discloses a kind of exoskeleton control filtering methods based on UWB and IMU fusion, comprising: deploying UWB base station, UWB label and IMU module;First displacement of knee joint in horizontal direction is measured by UWB label, first forward speed is calculated, second displacement of knee joint in horizontal direction is measured by IMU module, and second forward speed is calculated;State equation and observation equation are constructed, Sigma point is generated and untraceable Kalman filtering iteration is executed, and prediction result is optimized until the confidence of prediction result reaches a preset value.The application applies PDOA algorithm to solve angle, the angle and angular velocity measured by IMU module are fused by untraceable Kalman filtering, the motion direction error caused by single sensor is avoided, and the attitude estimation precision of exoskeleton control is improved.The application is suitable for exoskeleton control.

A device for radiolocation of objects in space (100), comprising: a frequency-modulated continuous-wave FMCW generator (101), a transmitting-receiving antenna (102) connected to the generator (101), a non-linear quadripole (103A) squaring the input signal, connected at its input to the generator (101) and to the antenna (102), and at its output to a filter (104A, 104B).A ground penetrating radar system (200) adapted to detect wave-reflecting objects (301) located in the vicinity of a wave-propagating medium (300), comprising: the device for radiolocation of objects in space (100), an echo signal amplifier (201), an analogue-to-digital echo signal converter (202) and a processing and visualisation circuit (203).

Systems and methods related to visual guidance for improving autonomous navigation with row following corrections in stereo camera systems are disclosed herein. A visual positioning system may implement a method for navigating a vehicle. The method may comprise: receiving navigation coordinates defining a route comprising a straight path; detecting detected lines that are parallel to the straight path based on images received from at least one camera on the vehicle; accessing ground truth data; deriving vehicle coordinates from the ground truth data; determining a centerline in vehicle coordinates based on the detected lines; determining corrected vehicle coordinates based on the centerline in vehicle coordinates and the vehicle coordinates from the ground truth data; and generating control signals to navigate the vehicle along the route using the corrected vehicle coordinates. The visual positioning system may maintain localization accuracy and provide drift correction in the presence of poor GPS or radio localization.

The present application relates to a security system (1) and a method for using the security system, wherein the security system (1) is used for locating at least one position-variable object (2), comprises at least one control and evaluation unit (3), at least one radio positioning system (4), the radio positioning system having at least three arranged radio stations (5), at least one radio transponder (6) being arranged on the object (2), position data of the radio transponder and position data of the object (2) being determinable by means of the radio positioning system (4), the position data being transmittable from the radio stations (5) of the radio positioning system (4) to the control and evaluation unit (3), the control and evaluation unit (3) being designed to periodically detect the position data of the radio transponder, a first checking unit (7) being provided, the first checking unit (7) being connected to the control and evaluation unit (3), the control and evaluation unit (3) being checked by the first checking unit (7).

The present invention belongs to the technical field of micro-electromechanical systems, and specifically discloses a badge-type consumer-grade IMU pedestrian navigation method, including: determining whether a pedestrian is in a static state; obtaining the pedestrian's motion parameters at the current moment, correcting the gyroscope and accelerometer, clearing the pedestrian's speed and performing S5; obtaining the angular velocity measured by the corrected gyroscope, and projecting the acceleration measured by the corrected accelerometer to a navigation system, and updating the pedestrian's motion parameters at the current moment according to the acceleration under the navigation system; compensating and updating the gyroscope correction according to the acceleration calculation under the navigation system obtained in S3, and performing S5; the method has the following advantages: the inertial navigation method based on the MEMS inertial measurement unit (MIMU) has the advantages of high-precision positioning effect in a short-flight scenario, is independent of external information, and is not easily affected by interference, which makes up for the shortcomings of radio positioning and is combined with the radio positioning method to improve the accuracy of pedestrian navigation positioning in an indoor environment.

The application discloses a curved surface array implicit aperture expansion imaging method based on sparse enhanced iterative adaptive processing, belongs to the technical field of array signal processing and beam imaging, and particularly relates to a high-resolution imaging algorithm for a non-planar (curved surface) conformal array. The core realizes accurate beam focusing, sidelobe suppression and robust beam pointing through virtual element expansion and iterative adaptive (IAA) beam shaping technology, and can be widely adapted to various systems such as radars, sonars and radio positioning systems.

A system for estimating a location of a source transmitting a signal having a known modulation standard comprises a plurality of signal receiving circuits, each configured to receive the signal, to generate a denoised version of the signal, and to extract from the denoised version of the signal a set of signal parameters sufficient to at least partially reconstruct the denoised version of the signal. The system can also comprise a central processor circuit that receives the set of signal parameters from each signal receiving circuit and estimates the location of the source based on the signal parameters.

The present invention discloses a method and system for analyzing and evaluating the site selection of base stations in a broadcast radio positioning system, which relates to the field of wireless positioning technology and includes: establishing a sample database of radio ground base station deployments and an elevation model database; selecting the best base station set covering the pre-working area from the databases based on a combined optimization strategy of the greedy algorithm and the genetic algorithm; constructing a three-dimensional evaluation system to comprehensively evaluate the best base station set from three dimensions: deployment cost, system robustness, and positioning accuracy; optimizing the base station set based on digital twin technology, including multi-band signal transmission modeling and machine learning recommendations from a historical case library; and dynamically presenting the deployment effect of the base stations and adjusting parameters through a three-dimensional visualization interface and an interactive sand table system. It can well cover a large working area, avoid signal coverage blind spots, thereby improving work efficiency, and can realize flexible and efficient site selection and evaluation of radio ground base stations in local sudden battlefields.

The invention belongs to the technical field of radio positioning, and particularly discloses an ultra-wideband TDoA positioning error correction method based on a Transform network, which comprises the following steps: firstly, constructing a model M based on the Transform network, secondly, collecting and generating training data of the model M, training the model M, and finally, moving a tag card to obtain timestamps when UWB signals arrive at each base station, and pairwise pairing to calculate time difference, so as to correct the positioning error of the UWB signals. The label card position estimation is carried out by using a classical TDoA algorithm and a time difference, a position estimation value and CIR information of each base station are input into a trained model M, and finally a final label position after error correction is output, the method is suitable for indoor and underground coal mine closed and seriously shielded scenes, and when UWB signals in a direct distance almost do not exist under an NLOS condition, the label card position estimation method has the advantages that the label card position estimation is more accurate. The positioning error can be stably corrected, the ranging information which is poor in quality and has potential useful data does not need to be discarded, and the precision and robustness of TDoA positioning under the condition of serious shielding are improved.

The invention discloses a multi-information fusion direction-finding positioning system suitable for an indoor 5G frequency band, and the system comprises an actual measurement module which is responsible for building a test environment, collecting 5G-RSS (Received Signal Strength) data, and carrying out the preprocessing of the data, thereby guaranteeing the accuracy of effective data; and the distance measurement module is used for establishing a relation model between the 5G-RSS data and the distance based on a basic path loss model and by considering indoor environment factors, so that accurate distance calculation is provided. The direction finding module performs sum-difference beam processing on the received 5G-RSS data, classifies signals, performs normalization, and constructs an angle discrimination curve to extract target angle information; and the information fusion module combines the angle information and the distance information to realize target positioning. Experiments show that in the indoor 5G environment, the multi-information fusion direction-finding positioning system is excellent in performance, the positioning precision is remarkably improved, the positioning range is effectively expanded, stable operation in the complex indoor environment can be achieved, and a new view angle is provided for subsequent 5G radio positioning research.

A radio locating system in which a position of a transponder is determined via base stations of the radio locating system based on radio signal receiving time differences or radio signal propagation times, wherein the transponder is arranged at a selected place on an object to be located, is equipped with a communication module for a wireless communication system and is operated as a base station or master station of the wireless communication system, where a display unit, which is equipped with a communication module and is separate from the transponder, connects to the transponder, the display unit being a subscriber or slave station of the wireless communication system, where the transponder transmits to the display unit position-related information and object-related data sent from the base stations of the radio locating system, and where the display unit displays the transmitted position-related information and object-related data in a continuously updated manner.

A radio locating system in which a position of a transponder is determined via base stations of the radio locating system based on radio signal receiving time differences or radio signal propagation times, wherein the transponder is arranged at a selected place on an object to be located, is equipped with a communication module for a wireless communication system and is operated as a base station or master station of the wireless communication system, where a display unit, which is equipped with a communication module and is separate from the transponder, connects to the transponder, the display unit being a subscriber or slave station of the wireless communication system, where the transponder transmits to the display unit position-related information and object-related data sent from the base stations of the radio locating system, and where the display unit displays the transmitted position-related information and object-related data in a continuously updated manner.

A method for transmitting a positioning reference signal, PRS, by a base station operating a cell in a 5G New Radio, NR, wireless communication system. The method comprising: determining a resource allocation from time and frequency resources of the cell for the transmission of the PRS; and transmitting the PRS using the determined resource allocation.

The invention discloses a mountainous area unmanned aerial vehicle positioning method and system, and relates to the technical field of radio positioning. Dynamically selecting a positioning mode according to a comparison result of the base station signal evaluation value and a preset threshold: when the evaluation value is greater than a first threshold, adopting base station differential positioning; when the distance is between the first threshold value and the second threshold value, fusing the base station and satellite positioning data, and generating a positioning result through position distance consistency judgment or a signal evaluation value optimization strategy; and when the difference is smaller than the second threshold value, combining satellite positioning and inertial navigation data, and introducing wind speed and inertial navigation continuous application time to dynamically adjust the weight. Through the intelligent switching positioning strategy, multi-source data fusion and environmental factor correction, the precision, anti-interference capability and environmental adaptability of mountainous area unmanned aerial vehicle positioning are remarkably improved, and the method is suitable for complex scenes such as routing inspection, rescue and surveying and mapping.

The invention relates to the technical field of radio positioning, and discloses a high-precision positioning system based on a millimeter wave backscattering system, and the system comprises a millimeter wave radar module which is provided with a plurality of millimeter wave radars which are respectively disposed at a plurality of non-coplanar positions in a three-dimensional space, and each millimeter wave radar works at a millimeter wave frequency band and employs a frequency modulation continuous wave technology, converting the millimeter wave signal into an intermediate frequency signal through down-conversion for distance measurement; the intermediate-frequency signal processing unit is used for filtering, amplifying and digitally processing the received intermediate-frequency signal so as to extract distance information of the target; the data fusion module is used for performing synchronous alignment on distance measurement data from the plurality of millimeter wave radars and performing data fusion through an extended Kalman filtering algorithm so as to estimate the three-dimensional position and speed of the target in real time; the millimeter wave reflection label is installed on a target and can reflect millimeter wave signals and transmit label ID information by adjusting an absorption switch and a reflection switch. According to the invention, high-precision real-time positioning of a target is realized through cooperative work of a plurality of millimeter-wave radars and the millimeter-wave reflection label capable of adjusting reflection.

In embodiments, an object location system is configured to receive a transmitted tag package from a Radio Frequency (RF) tag associated with an object. The transmitted tag package includes a representation of RF signals received by the RF tag from respective RF signal sources. The object location system is configured to access multiple data models associated with a respective subspace and generated by associating a RF signal sample received by a tag in the associated subspace at a prior time. The object location system is configured to compare the representation of RF signals to each of the plurality of data models. The object location system is configured to select a candidate data model having a highest correlation with the representation of the RF signals from the comparison. The object location system is configured to predict that the object is located in a subspace associated with the candidate data model.

A method of detecting a radio emission source (2) includes receiving three or more radio signal datasets from three or more respective sensors (3). Each sensor (3) corresponds to a physical location and includes at least one radio receiver (4). The three or more radio signal datasets include one or more directional datasets obtained using a directional antenna (9, 23) or a directional antenna array of the corresponding sensor, and two or more omnidirectional datasets, each obtained using an omnidirectional antenna (9, 22) or an omnidirectional antenna array of the corresponding sensor. The method also includes determining whether an emitter signal (8) within a target frequency range is present in any of the one or more directional datasets. The method also includes, for each directional dataset, in response to the emitter signal (8) is present in that directional dataset, carrying out a correlation based time-of-arrival location finding calculation based on that directional dataset and at least two further radio signal datasets.

Systems and methods related to visual guidance for improving autonomous navigation with row following corrections in stereo camera systems are disclosed herein. A visual positioning system may implement a method for navigating a vehicle. The method may comprise: receiving navigation coordinates defining a route comprising a straight path; detecting detected lines that are parallel to the straight path based on images received from at least one camera on the vehicle; accessing ground truth data; deriving vehicle coordinates from the ground truth data; determining a centerline in vehicle coordinates based on the detected lines; determining corrected vehicle coordinates based on the centerline in vehicle coordinates and the vehicle coordinates from the ground truth data; and generating control signals to navigate the vehicle along the route using the corrected vehicle coordinates. The visual positioning system may maintain localization accuracy and provide drift correction in the presence of poor GPS or radio localization.

This invention discloses an adaptive data-driven fractional derivative positioning optimization method, belonging to the field of radio positioning technology, comprising the following steps: S1. Receive signal strength indicators at actual locations using sensors within a target area to generate an RSSI dataset; S2. Generate and train a fractional derivative kernel adaptive filter based on the RSSI dataset; S3. Input the actual location and RSSI dataset into the trained fractional derivative kernel adaptive filter to obtain the target location. Compared to traditional classical kernel adaptive filtering methods, this invention utilizes a weight update strategy constructed using fractional derivatives, resulting in higher and more robust filtering accuracy. This invention is the first to incorporate fractional calculus combined with q-Laplacian kernel technology into kernel adaptive filters to construct a positioning system. Experiments have shown that this algorithm achieves better positioning accuracy than the most advanced positioning algorithms currently available.

The present invention belongs to the technical field of radio positioning, and specifically relates to a method for locating interference sources based on satellite-ground cooperation. The present invention proposes a method for locating interference sources based on satellite-ground cooperation, which avoids the problems of inter-station communication and multi-receiving station site selection that need to be considered when deploying multiple signal receiving platforms on the ground. By using the coherent direction finding of the satellite downlink signal and the weak sidelobe signal received by the antenna array, the direction of arrival of the weak sidelobe signal of the interference source is obtained. Combining the time difference extracted by the correlation of the satellite downlink signal and the sidelobe signal, the direction of arrival / time difference combined positioning of the interference source is realized.

The invention provides a high-precision direction finding method and system based on amplitude-phase joint feature fusion. The method comprises the steps that radio signals are collected and preprocessed; calculating an amplitude difference delta A and a phase difference of adjacent array elements, and constructing a joint feature vector; based on a real-time signal-to-noise ratio, dynamically weighting and fusing the amplitude and phase features to obtain a fusion direction feature; calculating a spatial spectrum function by using a spatial spectrum estimation technology, and determining an incoming wave direction angle by searching a peak value; and finally, performing dynamic smooth filtering on a continuous measurement result, and outputting a stable direction angle estimated value. Through deep fusion and intelligent weighting of amplitude and phase characteristics, the direction finding precision and robustness in complex environments with low signal-to-noise ratio, multipath interference and the like are remarkably improved, and the method is suitable for the fields of frequency spectrum monitoring, radio positioning, electronic reconnaissance and the like.

The invention relates to the technical field of radio positioning detection, in particular to a self-adaptive multi-band radio wave identification method, which comprises the following steps of: monitoring data; judging a multi-target approaching state; judging a target shielding state; adjusting a frequency band to cope with interference; and correcting the threshold value and giving an alarm. According to the method, the target identification precision of the low-altitude aircraft can be effectively improved in a complex electromagnetic environment by combining the comprehensive analysis of the real-time reflection time delay, the reflection cross section and the interference ratio, the problem that a single frequency band is liable to be interfered is avoided by dynamically adjusting the frequency band, the identification capability of a shielded target is enhanced, and the identification accuracy of the low-altitude aircraft is improved. It is ensured that the targets can still be accurately detected in a multi-target approaching state and under the complex shielding condition, and the influence of an interference source on a recognition system can be effectively avoided based on continuous interference mode recognition and frequency band optimization of real-time data. The problems of poor real-time performance and low accuracy of signal identification caused by excessive signal processing staticity and calculation resource consumption are effectively solved.

A safety system (1) and a method using a safety system (1) for localizing at least one spatially variable object (2) having at least one first real time control and evaluation unit (3), having at least one radio location system (4), wherein the radio location system (4 has at least three arranged radio stations (5); wherein at least one radio transponder (6) is arranged at the object (2); wherein the radio transponder (6) has a check unit (8); wherein the radio transponder (6) has safe switch outputs (9); wherein position data of the radio transponder and thus position data of the object (2) are determined by means of the radio location system (4); wherein the position data are transmitted to the first real time control and evaluation unit (3) by the radio stations (5) of the radio location system (4); wherein the first real time control and evaluation unit (3) is configured to cyclically detect the position data of the radio transponder (6); wherein a second real time control and evaluation unit (7) is provided; wherein the second real time control and evaluation unit (7) is connected to the first real time control and evaluation unit (3); wherein the first real time control and evaluation unit (3) is checked by the second real time control and evaluation unit (7); wherein the second real time control and evaluation unit (7) is configured with two channels; and wherein there is a radio communication connection between the radio transponder and the second real time control and evaluation unit (7) via the first real time control and evaluation unit (3).

The application provides a high-precision direction finding method and system based on amplitude-phase joint feature fusion, comprising: collecting radio signals and preprocessing; calculating the amplitude difference DA and the phase difference of adjacent elements, and constructing a joint feature vector; dynamically weighting and fusing the amplitude and phase features based on the real-time signal-to-noise ratio to obtain a fused direction feature; calculating the spatial spectrum function by using the spatial spectrum estimation technology, and determining the incoming direction angle by searching for the peak value; and finally, performing dynamic smoothing filtering on the continuous measurement results to output a stable direction angle estimate. Through the deep fusion and intelligent weighting of the amplitude and phase features, the direction finding precision and robustness in complex environments such as low signal-to-noise ratio and multipath interference are significantly improved, and the application is suitable for fields such as spectrum monitoring, radio positioning and electronic reconnaissance.

Disclosed are systems, methods, and non-transitory media for detecting a positioning attack based on wireless position signaling. For example, a location server can determine a positioning reference signal having at least a first signal portion and at least a second signal portion. An indication of a positioning attack associated with the positioning reference signal can be obtained. The location server can provide, to a base station, a message of transmission preemption of the second signal portion of the positioning reference signal based on the indication of the positioning attack.

The present application belongs to the field of radio positioning technology, and particularly relates to a radiation source and scattering point joint positioning. The method of the present application is to detect the radiation source through a primary station and an auxiliary station, and meanwhile, there is a scattering point in the detection area, the scattering point scatters the signal of the radiation source, the primary station and the auxiliary station receive the direct wave signal of the radiation source and also receive the scattering signal of the scattering point, and the joint positioning of the radiation source and the scattering point is realized. The method of the present application utilizes a primary station passive detection device and an auxiliary station primary station passive detection device to measure the direction of arrival and the time difference of arrival, and only by using the double stations, the joint positioning of the radiation source and the scattering point can be realized, which can be applied to the application scene that there is a radiation source with a radiation signal in the detection area and multiple scattering points scattering the radiation signal of the radiation source.