37results about "Direction finders using radio waves" patented technology

The invention discloses a multi-base-station AOA cooperative low-altitude target rapid positioning system. The system comprises an AOA measurement base station network, an AOA data preprocessing module, an adaptive weighted intersection positioning module, an extended Kalman filtering state estimation module and a data fusion and system integration module. The system synchronously measures the arrival angle of a target signal through multiple base stations, removes noise in combination with smoothing filtering and an anomaly rejection algorithm, and then solves the initial position of a target by using a self-adaptive weighted intersection algorithm based on measurement quality and geometric distribution. And then, fusing the target motion model and the measurement model by adopting an extended Kalman filtering algorithm to realize dynamic estimation and prediction of the position, the speed and the course. The system can realize high-precision and real-time positioning and continuous tracking of targets such as low-altitude unmanned aerial vehicles, small aircrafts and the like in a complex electromagnetic environment and a sight distance limited scene, and has visual display and regional alarm functions.

The present invention provides a method for low-complex estimation of Direction of Arrival (DoA) and Time of Arrival (ToA) in multi-antenna-based communication comprising detecting overlapped paths between a Mobile Station (MS) and a Base Station (BS) operating under said multi-antenna-based communication with scatters present therein involving channel paths represented as Channel Impulse Response (CIR) defined with channel signatures including delay and angle steering vectors, decoupling the channel paths in delay and angle-domain and separately estimate the DoA and ToA of each path with a low computational complexity which is based on one-dimensional low-index based rotation methodology and finally pairing the DoA and the ToA.

The invention relates to a method for determining a confidence interval for an estimated position of an object and a method for training a physics-informed neural network for this purpose. The invention further relates to a computer program, a device, and a storage medium for this purpose.

The invention discloses an unmanned aerial vehicle target intelligent fusion and tracking method based on radar and TDOA, and belongs to the technical field of unmanned aerial vehicle monitoring and tracking. According to the method, the problem that continuous and stable tracking, high-precision positioning and target identity recognition are difficult to consider in a complex urban environment by an existing single detection means is solved, and the continuous position finding capability of a radar and the passive identity recognition capability of TDOA are deeply coupled by constructing an intelligent data fusion framework; and by adopting a hybrid association and optimal fusion algorithm, stable and accurate continuous tracking of the unmanned aerial vehicle target with identity information is realized, and the situation awareness and decision-making capability of an anti-unmanned aerial vehicle system is remarkably improved.

An emulator system and an emulating method for satellite communication are provided. The emulating method includes: providing a first antenna array, wherein the first antenna array includes a plurality of antenna units arranged along a first direction; mounting the device under test on a virtual plane by a jig; enabling a first beam by the first antenna array; steering the first beam to the device under test by a default angle of incidence; transmitting a first signal to the device under test via the first beam, and receiving a second signal corresponding to the first signal from the device under test; calculating a value of phase difference according to the second signal; determining whether the device under test passes a test according to the value of phase difference and a threshold to generate a testing result; and outputting the testing result.

The invention relates to a method for assisting in the landing of an aircraft, the method comprising the steps of: - synchronising (302) an on-board system and a ground system by exchanging at least one item of timestamp information between the ground system and the on-board system; - estimating (303) at least one item of information that is characteristic of the distance separating the aircraft from a sub-module of the ground system, and combining (305) the items of information in order to infer therefrom at least one item of information characteristic of the raw general direction of arrival of the aircraft; - estimating at least one item of information characteristic of the direction of a signal transmitted by the aircraft with respect to the ground system; - comparing (307) the information characteristic of the raw general direction of arrival of the aircraft with at least the information characteristic of the direction, and determining at least one item of information characteristic of the refined general direction of arrival of the aircraft relative to the given point in the landing zone.

The utility model discloses an unmanned aerial vehicle tracking angle measurement phase zero calibration device, and particularly relates to the field of unmanned aerial vehicle measurement and control, the unmanned aerial vehicle tracking angle measurement phase zero calibration device comprises a servo turntable, a directional antenna, a ground terminal, an image collector, a monitor and a servo controller, the directional antenna is fixed on the servo turntable, and the directional antenna is used for receiving a telemetering radio frequency signal; a radio frequency cable is connected with a ground terminal; the ground terminal is connected with the directional antenna, and the ground terminal is used for processing the telemetering radio frequency signal received by the directional antenna to obtain telemetering data; the image collector is arranged on the directional antenna, and the image collector is used for collecting an image of the unmanned aerial vehicle; the monitor is connected with the image collector and used for adjusting the focal length of the image collector and displaying an unmanned aerial vehicle picture collected by the image collector, and the monitor is further connected with the ground terminal and used for determining servo control data according to telemetry data; and the servo controller is connected with the servo turntable and the monitor and is used for rotating the servo turntable according to the servo control data. And accurate phase zero calibration can be ensured.

The present application relates to the technical field of image processing, in particular to a kind of real-time optical tracking method and system of moving target based on passive guidance.The approximate coordinates of moving target are obtained by passive direction finding station;And according to the approximate coordinates, control laser illumination unit to light moving target body, utilize binocular camera unit to carry out image acquisition and visual analysis to moving target, to obtain the position change of moving target;Combining the position change of moving target, determine the trajectory pose of moving target.Using call camera unit, the whole tracking of moving target is carried out, and the flight state of moving target collected is transmitted to host computer in real time for display.The present application realizes real-time positioning of moving target by the fusion mode of passive direction finding station and binocular optical system, realizes real-time accurate positioning of moving target in the case of building, vegetation dense and low visibility.

A calibration method of calibrating a direction finding, DF, device (12) is described. The calibration method comprises the following steps: - placing a mobile test device (14) at a first position relative to the DF device (12) to be calibrated, wherein the mobile test device (14) comprises a GNSS module (24) and a transmission module (26); - obtaining, by an analysis module (22), a GNSS position of the mobile test device (14); - generating and transmitting, by the transmission module (26), a wireless test signal; - receiving, by the DF device (12) to be calibrated, the wireless test signal; - determining, by the DF device (12), a DF azimuth angle based on the wireless test signal; and - determining, by the analysis module (22), an error angle based on the DF azimuth angle and based on the obtained GNSS position. Furthermore, a calibration system (10) is described.

The invention relates to the technical field of DOA estimation, in particular to a TMNet-based DOA estimation method, which comprises the following steps of: acquiring a received signal based on a linear array system model; performing real part and imaginary part conversion on the received signal, and obtaining a received signal feature vector according to the batch size; inputting the received signal feature vector into a TMNet network, performing field space sequence signal fusion by using a positive and negative Mamb + module, and performing signal local detail enhancement by using a Tramsformer encoder; converting the real vector into a complex vector, and calculating a real spatial spectrum by using the complex vector; defining a loss function by using the real spatial spectrum and the reference spectrum, and optimizing the spectrum form by using the loss function; and performing peak search by using the real spatial spectrum to obtain the estimated DOA. The method solves the problem that the existing method can only extract the local feature of the DOA, and the local feature is difficult to effectively model the long-range spatial correlation of the antenna array.

The embodiment of the invention provides an angle determination method and device. The method comprises: a receiving device receiving a first multi-tone signal, the first multi-tone signal comprising N1 frequency points, N1 being an integer greater than or equal to 2; the receiving device performs phase measurement on the first multi-tone signal and obtains first phase values corresponding to k antennas of the first device at N1 frequency points; and the receiving device determines the angle of the signal of the first device according to the acquired first phase value. According to the method disclosed by the invention, rapid and high-precision angle measurement can be realized.

The utility model discloses a calibration tool for a microwave anechoic chamber test of a radio direction finder, which relates to the technical field of direction finders and comprises a fixing plate, a boss is arranged in the middle of one side of the fixing plate, a plurality of first bolt holes penetrating through the boss and the fixing plate are arranged on the boss, and the first bolt holes are used for connecting the tool and a bottom plate of a mechanical arm. The boss is provided with a plurality of first hollow areas for wiring, the other side of the fixing plate is provided with a plurality of second bolt holes, and the second bolt holes are used for connecting a tool and a radio direction finder. When the microwave darkroom test of the radio direction finder is carried out, the calibration tool and the bottom plate of the mechanical arm are firstly fixed through the first bolt hole to complete the calibration adjustment of the calibration tool, and then the radio direction finder is fixed on the calibration tool through the second bolt hole. The radio direction finder does not need secondary calibration, and at the same time, the boss is also provided with a plurality of first hollow areas, which is convenient for wiring.

An angle width estimation device is configured in such a way as to include: a beam forming unit to acquire one reception array signal of a reflected wave from a target to be observed, and form, from the one reception array signal, a plurality of null beams having nulls in an arrival direction of the reflected wave, and having null widths which are widths of the nulls and different from each other; and an angle width estimating unit to compare powers of the plurality of null beams formed by the beam forming unit with each other, and estimate a null width indicating an angle width of the reflected wave on the basis of a comparison result of the powers.

The utility model discloses a multi-frequency-band portable integrated fast step direction-finding antenna array, and relates to various components. The direction-finding antenna array comprises antenna units of various frequency bands, a radio frequency switch matrix, an electronic compass, a mounting bottom plate, a precise collision bead, an adapter and the like, according to the antenna array, the rapid folding and unfolding layout of the antenna can be realized through the adapter, the oscillator rotating structure and the precise collision beads. According to the utility model, the antenna array is safer, more convenient and faster to install and has interchangeability.

The invention discloses an unmanned aerial vehicle sensing method and system. The method comprises the following steps: detecting a target airspace through a first wave beam, and determining a target orientation of a target unmanned aerial vehicle in the target airspace; determining a beam forming vector group matched with the target azimuth from a reference beam codebook, wherein the reference beam codebook comprises an association relationship between the reference azimuth and the reference beam forming vector group; the reference beamforming vector group is a beamforming weight set which is solved under a preset constraint condition of a beamforming weight factor and can enable the reference sensing error to reach a preset optimization target; the reference sensing error is a sensing error limit value when the position and the speed of the unmanned aerial vehicle at the reference position are sensed under the reference system; and determining a second beam through the beam forming vector group matched with the target azimuth. According to the technical scheme provided by the invention, integrated and efficient utilization of communication sensing resources can be realized under a cellular-free large-scale multiple-input-multiple-output integrated sensing and communication system architecture.

System and method for selecting location data to be used as the location of a user device using a location-based service. Horizontal location data and vertical location data for the user device are obtained from multiple sources. A horizontal location uncertainty and a vertical location uncertainty are determined or obtained for each source. In response to determining that both the horizontal location uncertainty meets a threshold horizontal uncertainty value and the vertical location uncertainty meets a threshold vertical uncertainty value, the corresponding source is identified as compliant. In response to identifying no compliant sources, a lowest horizontal location uncertainty and a lowest vertical location uncertainty are selected from among the plurality of sources.

The invention relates to the field of signal processing, and provides a satellite-borne interferometer receiving signal digital generation method, device and equipment and a medium, and the method comprises the steps: converting a target position and an interferometer antenna position to a WGS84 coordinate; and generating an interferometer receiving signal associated with the target position, the interferometer antenna and the signal carrier frequency according to the geometrical relationship of the target position and the interferometer antenna position under the WGS84 coordinate. According to the invention, the interferometer receiving signal associated with the target position, the interferometer antenna position and the signal carrier frequency can be generated, and the current situation that the interferometer signal processing function cannot be systematically and comprehensively tested after being integrated is solved. The interferometer receiving signal generated by the method not only can be used as simulation test excitation for algorithm verification, but also can be stored as a data file to be used as test excitation for engineering development software verification.

This invention discloses a generative deception interference detection and suppression method based on coprime arrays. After signal despreading, a grid-adaptive orthogonal matched pursuit algorithm is used for DOA estimation, and the sum of squared errors (SSE) of the DOA estimation results is used as the detection metric for deception interference. This is combined with a linearly constrained minimum variance algorithm to suppress generative deception interference. This invention maintains a high deception interference detection rate even in complex scenarios with severe multipath interference. It can detect and suppress generative deception interference before the induced correlation peak is stripped, adjust the array's main beam to align with the navigation signal, and improve the navigation signal's resistance to generative deception interference.

The disclosed handheld camera device is a combination digital optical and millimeter wavelength (MMW) camera. In contrast to an optical camera, the MMW camera detects frequencies between 3-300 GHz making the MMW camera especially good at seeing metallic objects under garments, such as concealed weapons on a person or in a bag. The MMW camera can be arranged to point in the same field-of-view as the optical camera so that when an MMW image is taken it is automatically framed within the optical camera field-of-view. In certain configurations, the MMW camera takes a plurality of MMW images defined within an MMW field-of-view. In the case where the MMW field-of-view is smaller than the optical camera field-of-view, the multiple MMW images can be stitched together and overlaid on the optical image of the same scene to show a metallic object superimposed over a subject of interest.

The invention relates to a method (100) for adjusting a plurality of measurements of a hybrid positioning system, comprising the following steps, which are carried out by a data processing device: - Obtain (101) the majority of measurements with respect to at least two target objects, wherein the majority of measurements includes at least one distance measurement and / or at least one position measurement, - Linking (102) the plurality of measurements with a state estimation using a functional model for the hybrid positioning system, wherein the state estimation is related to the plurality of measurements with respect to a position and / or a distance measurement in relation to the at least two target objects, - Linearizing (103) the functional model using a Jacobi matrix J, where the Jacobi matrix J specifies the linear approximation of the functional model around a current state estimate, - Collecting (104) stochastic information regarding a distribution of measurement errors in a sparse matrix Q, - iterative compensation (105) of measurement uncertainty and / or measurement errors based on a weighted least-squares procedure using the linearized functional model and the collected stochastic information, - Adjusting (106) the majority of measurements based on compensation (105). Furthermore, the invention relates to a computer program and a device for this purpose.

Multi-sensor system for legally compliant detection, localization and authentication of unmanned aircraft systems (UAS), including: a) at least one remote ID receiver, b) an RF spectrum analysis module, c) an acoustic and / or optical detection module, d) a central evaluation unit for triangulation, sensor fusion and plausibility checks, e) an authentication module for verifying the remote ID, f) a documentation and alerting module.

This application provides an orientation measurement method and a terminal device, to consider both auditory experience and an effective distance for measuring an orientation, and may be applied to a communication system. The method includes: A first terminal device receives and / or sends an acoustic wave signal on a first acoustic wave frequency band, to measure a relative orientation between the first terminal device and a second terminal device. The first terminal device obtains first information, where the first information includes first signal strength and distance information between the second terminal device and the first terminal device. The first terminal device determines a target acoustic wave frequency band based on the first information. The first terminal device switches, if the target acoustic wave frequency band is different from the first acoustic wave frequency band, to the target acoustic wave frequency band to continue receiving and / or sending the acoustic wave signal.

The invention relates to the technical field of signal processing and data fusion, and discloses an electric detection-radar heterogeneous signal positioning method based on an encoder-decoder network, and the method comprises the steps: obtaining a radar and an electric detection data sequence which are aligned in a space-time manner; performing deep interactive fusion by using a hybrid feature encoder, and outputting a fused feature sequence; decoding the fusion feature sequence into a probabilistic result containing a position mean value and a covariance matrix by using a probability positioning decoder; carrying out supervised training on the coding and decoding network model by adopting a negative log-likelihood loss function; and inputting real-time data into the trained model, and directly outputting a positioning result through forward propagation. Through deep adaptive fusion and probabilistic decoding, the problems of shallow fusion level and weak interference resistance are solved, and the precision, robustness and reliability of heterogeneous signal positioning are improved.

The utility model discloses a cable path identification signal receiver, which relates to the technical field of receivers and comprises a display controller and a body. A central processing unit is arranged inside the display control instrument, a liquid crystal display screen and keys are arranged outside the display control instrument, and the liquid crystal display screen and the keys are electrically connected with the central processing unit; the first horizontal antenna, the second horizontal antenna, the first vertical antenna, the second vertical antenna and the compass antenna are connected with different connecting ports of the machine body, and the connecting ports are electrically connected with the central processing unit; the position and the direction of an underground cable are judged by receiving signals through the antenna, the position of a pipeline below the receiver is displayed through the liquid crystal display screen, the pipeline can be rapidly tracked, the telescopic handle is connected to the end of the machine body, and the height is adjusted according to stretching of the telescopic handle during detection so that the device can adapt to the height of a tester. And a tester does not need to bend down to carry the receiver by hand for a long time, so that the labor intensity of workers is reduced.

Method for sensing the environment of a vehicle (2) comprising the steps: Operating at least two measuring devices (6, 7) which operate according to the pulse-echo measuring principle and have spatially overlapping measuring ranges, Fusion of the measurement results of the at least two measuring devices (6, 7) for object location in the vicinity (3) of the vehicle (2); where the at least two measuring devices (6, 7) perform their pulse-echo measurements simultaneously or quasi-simultaneously, so that in the recorded echo profile (31, 32) of a respective measuring device (6, 7) in addition to direct echo pulses (61, 62; 65, 66), which are caused by a reflection of the emitted measuring pulse (42, 43) of the respective measuring device (6, 7) on an object (4, 5) in the environment (3), also cross-echo pulses (63, 64; 67, 68) occur, which are caused by a reflection of a measuring pulse (42, 43) emitted by another measuring device (6, 7) on an object (4, 5) in the overlap area of ​​the measuring devices (6, 7); and a classification step is performed before merging in order to classify at least individual echo pulses (33) with regard to their membership and / or non-membership in a transmission path class (K) ij) to classify, and subsequently the fusion of the measurement results to locate objects (4, 5) is carried out taking into account the determined classification, wherein pulse-echo measurements are carried out quasi-simultaneously when the different at least two measuring devices (6, 7) emit their measurement pulses (42, 43) at different times, the time offset, however, is significantly shorter than the measurement duration for which echo pulses reflected after the emission of the measurement pulse (42, 43) are subsequently recorded with time resolution, characterized in that for the classification of cross-echo pulses (63, 64; 67, 68) the transmission paths between two measuring devices (M i ) a difference image space is determined by calculating, for each location (x, y) or each spatial region, the magnitude of the difference (D) of the signal strengths (Si(T) ij (x,y))) of the echo profiles (31, 33) of the two measuring devices (M i) to the signal propagation times (T) assigned to the location (x, y) or spatial area ij (x,y)) is determined, and in the resulting difference image space (9) elliptical traces (151-153) are determined, which are formed from pixels whose pixel intensity values ​​are above a threshold value, and for these elliptical traces (151-153) in the echo profiles (101-104) the associated echo pulses (107) are determined, which generated the corresponding elliptical traces (151-153), and these echo pulses (107) are removed from the echo profiles (101-104) for the measurement result fusion in connection with the transmission paths between these measuring devices (M i ) be used .

Disclosed is a first device, which receives a signal from a second device, calculates a channel matrix for the signal, estimates angle information of an angle of arrival (AoA) and / or an angle of departure (AoD) on the basis of the channel matrix, and transmits the at least one angle information to the second device.

Embodiments of the present application disclose a target detection method, device, equipment, medium and program product, and relate to the technical field of communication perception. The method comprises: determining first channel information, first phase information and second channel information under a communication perception architecture; determining input data according to a target signal, the first channel information, the second channel information and the first phase information, inputting the input data into a pre-trained target detection model to obtain output data; and in the case that communication quality based on the target signal and a user meets requirements, taking a spatial angle in the output data as a detection spatial angle of an actual target. The above scheme can change a transmission direction through forwarding of a forwarding device under the communication perception architecture, so as to detect a target blocked by an obstacle, enhance scene adaptability of target perception, and realize accurate optimization of the detection spatial angle through constraint of the communication quality, so as to give consideration to the communication quality and detection accuracy.

An electronic device comprises a first wireless communication circuit, an orientation sensor, and a controller. The first wireless communication circuit is configured to transmit and receive first wireless signals via a plurality of antennas. The orientation sensor is configured to provide heading information indicative of an orientation of the electronic device in a reference frame. The controller is configured to obtain the heading information from the orientation sensor, and to control the first wireless communication circuit to transmit at least one first wireless signal comprising information indicative of the heading information and an identifier of the electronic device. The controller is configured to receive, via the first wireless communication circuit, at least one first wireless signal transmitted by another device, and to determine, based on differences in arrival time and / or phase of the at least one first wireless signal at the plurality of antennas, a direction vector from the electronic device towards the other device. The controller is configured to determine, based on a time-of-flight associated with the at least one first wireless signal, a distance between the electronic device and the other device, and to compare the direction vector with the heading information and, when the direction vector satisfies a directional criterion relative to the heading information and the distance is within a predetermined range, generate a target-determination signal or proximity signal.