16 results about "Radiolocation" patented technology

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 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 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.

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.

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.

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 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 application belongs to the technical field of radio positioning, and specifically discloses a super wide band TDoA positioning error correction method based on a Transformer network. First, a model M based on the Transformer network is constructed. Second, training data of the model M is collected and generated, and the model M is trained. Finally, a label card is moved, time stamps of UWB signals arriving at each base station are obtained, and time differences are calculated in pairs. The position of the label card is estimated by using a classic TDoA algorithm and the time differences. The position estimation value and CIR information of each base station are input into the trained model M. Finally, the final label position after error correction is output. The method is suitable for closed and seriously shielded scenes such as indoor and underground coal mines. When the UWB signal under the NLOS condition and almost no direct distance exists, the positioning error can be stably corrected. The ranging information with poor quality but potential useful data does not need to be discarded, and the precision and robustness of TDoA positioning under serious shielding are improved.

The invention discloses an electric vehicle intelligent positioning and battery replacement guiding method and system based on radio navigation and distance measurement, and relates to the technical field of automatic control and radio positioning. According to the method, through process stage-space sequence double constraint verification, the risk of false triggering of the business process caused by positioning instantaneous jump is effectively avoided; in combination with projection correction of an accurate geometric boundary of the commutation potential, it is ensured that the guide position always conforms to physical layout constraints; and with the assistance of displacement continuity judgment based on a vehicle kinematic model, abnormal data exceeding a dynamic limit can be filtered out. Finally, the method can still output a smooth and continuous guide position which strictly accords with business logic and safety specifications in a complex electromagnetic environment, and provides a high-robustness decision basis for realizing full-automatic battery replacement.

Location of objects within an identified subspace defined within a predefined master space. The system includes an RF beacon associated with an object, the RF beacon transmitting signals to one or more of RF tags transmitting to an object location system a tag data package including an identification of the signals received by the RF tags from the RF beacon. The system includes a gateway receiving and extracting, from the transmitted tag data package, the identification of signals. The system further includes the location engine accessing an ML model trained by performing a survey of RF signals received from a plurality of RF signal sources during a prior RF master space survey operation and determining a subspace identifier corresponding to a predicted subspace location for the object by comparing the identification of signals included in the received tag data package to a model plurality of signals accessed from the model.

The utility model relates to radio engineering, including ultra-high frequency engineering and technology, and can be used for the radiation and reception of electromagnetic waves in telecommunications, television engineering, radiolocation, radio navigation, radio control, communication and antenna engineering. The monopole antenna is aimed at solving the technical problem by improving its electrical, magnetic, technical, structural and operational parameters and characteristics and optimizing its design. To solve the technical problem, a coplanar waveguide was placed on a rectangular body to simplify the design of the device, increase the gain by 1.6 times, eliminate its dependence on the ground plane, eliminate sensitivity to obstacles, and enable easy coordination with the transmitting and receiving tracts.

The invention discloses a signal arrival time difference estimation method based on layered frequency offset compensation, and belongs to the technical field of radio positioning. The method comprises the following steps: firstly, synchronously acquiring original IQ signals of two receiving stations and preprocessing the original IQ signals; setting a frequency offset search range and target precision according to signal characteristics; then layered frequency offset search is executed, rough search is carried out on the first layer in a large stepping mode, and a rough frequency offset value with the maximum cross-correlation peak value is found; then, taking the rough frequency offset value of the previous layer as the center of each subsequent layer, performing fine search with a smaller step until the target precision is reached, and determining an optimal frequency offset value which enables the cross-correlation peak value to reach the maximum; and finally, compensating the signals by using the optimal frequency offset value, and calculating a final generalized cross-correlation function of the two paths of signals, the peak position of which is the high-precision arrival time difference. According to the invention, the interference of receiver frequency offset on time difference estimation is effectively overcome, and the precision and applicability of a TDOA positioning system are improved.

The application discloses a UAV target detection fusion calibration method based on visual and radio features, comprising: extracting static and dynamic target features in an image; tracking cross-frame change states of each feature, and performing consistency matching with a radio positioning motion trend; independently weighting each feature, and obtaining a visual positioning coordinate through weighted fusion; calculating a deviation vector of the visual positioning coordinate according to a reference track point of external camera positioning; generating a virtual anchor point behavior feature factor to identify a motion scene according to the reference track point; dynamically calibrating the weight of each feature in combination with the deviation vector; re-executing fusion positioning on the calibrated weight and outputting; the application sinks the fusion level to the feature level, verifies the feature credibility by using the radio trend, and introduces an external reference to realize scene-adaptive dynamic calibration of the weight, thereby effectively solving the feature credibility difference and positioning cumulative drift problem in a complex environment, and significantly improving the positioning accuracy and robustness.