77results 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.

A locator device system formed by a pair of locator devices that provide an illuminated display indicating a location of another locator device. Each locator device includes a case having an exterior with a front surface and a plurality of visual indicators. The visual indicators switch between illumination states and, when illuminated, are observable by observing the front surface of the case. A controller changes the illumination states based on a position of the other locator devices. A user interface receives user inputs including pairing input for pairing the locator devices to one another. When the locator devices are paired together and are located at a predefined location relative to one other, the controller changes a selected visual indicator located a direction corresponding to a direction heading towards the other one of the pair of locator devices from the first illumination state to the second illumination state.

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.

A radio frequency connection between a far field voice detection device and a further device is used to determine a first angular direction from the far field voice detection device to the further device. The determined first angular direction is then used to emphasize, during a noise processing of a plurality of sounds received via use of a plurality of microphones of the far field voice detection device, a first one of the plurality of sounds relative to a remainder of the plurality of sounds.

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.

A locator device system formed by a pair of locator devices that provide an illuminated display indicating a location of another locator device. Each locator device includes a case having an exterior with a front surface and a plurality of visual indicators. The visual indicators switch between illumination states and, when illuminated, are observable by observing the front surface of the case. A controller changes the illumination states based on a position of the other locator devices. A user interface receives user inputs including pairing input for pairing the locator devices to one another. When the locator devices are paired together and are located at a predefined location relative to one other, the controller changes a selected visual indicator located a direction corresponding to a direction heading towards the other one of the pair of locator devices from the first illumination state to the second illumination state.

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.

The present invention provides an active estimation method and system for a broadband VHF array channel delay error, belonging to the technical field of direction finding. The method comprises: obtaining the direction vectors of each frequency point of an auxiliary signal source relative to each array element in a broadband VHF array and performing normalization processing; determining the eigenvector corresponding to the maximum eigenvalue of the covariance matrix of each frequency point of the auxiliary signal source and performing normalization processing; calculating the channel delay error corresponding to each frequency point in an observation frequency band based on the eigenvector and the corresponding direction vector corresponding to the maximum eigenvalue of the covariance matrix of each frequency point after normalization processing; and calculating the broadband VHF array channel delay error based on the channel delay error corresponding to each frequency point in the observation frequency band. The present invention can achieve efficient and accurate estimation of the broadband VHF array channel delay error, ensure broadband lightning VHF direction finding performance, and is suitable for correcting the broadband VHF array channel delay error.

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.

A system for estimating a location of a source transmitting a spectral-diversity signal having a known form but at least one unknown parameter is disclosed. The system comprises signal receiving circuits, each receiving the spectral-diversity signal and computing, for each signal carrier component in the spectral-diversity signal, a cross-ambiguity function based on the known form and on the received spectral-diversity signal. A central processor circuit estimates the location of the source, by calculating an extremum of an objective function constructed from all the cross-ambiguity functions.

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 provides a plug-and-play single-bit sparse bipolar array DOA (direction of arrival) estimation method based on a noise reduction network. According to the method, in a maximum posterior probability direction of arrival estimation algorithm, a sparse reconstruction model based on a covariance matrix is described as the sum of a known sparse representation model and unknown noise, and the known model and the unknown noise are processed separately by using a plug-and-play technology. Specifically, a known model part obtains a closed-form solution through a least square method, and an unknown noise part is completed by a noise reduction network driven by data; the noise reduction network is suitable for one-dimensional sparse signals, only carries out sparse signal noise reduction work, does not contain model information of an array, only needs a small training data set, and is high in generalization. The training data required by the method is far lower than that of a typical deep convolution and deep expansion direction-of-arrival estimation network, and the robustness to the number of source signals is high.

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.

Method and module for classifying a radiofrequency communication link, in direct or indirect connection The invention relates to a method (50) for classifying a communication link, in direct or indirect connection, between a first and a second device, comprising the following steps: - obtaining (52) the orientation of each antenna of said first and second devices expressed in a reference frame common to said devices;- obtaining (60) a first arrival angle vector (62) of the signal, received by the first device, and transmitted according to said link by the second device, and a second arrival angle vector (64) of the signal received by the second device and transmitted according to said link by the first device, the first and second vectors being expressed in said common reference frame, - classification (70) of said link into indirect link (74) if the first and second vectors are of distinct directions, or of the same direction and the same sense. Figure for the abstract: Figure 3;

Systems, methods, and computer-readable media for deterministic dynamic traffic shaping and / or network traffic latency equalizing for communication networks are provided.

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.

Embodiments of this application provide an angle determining method and apparatus. The method includes: A receiving device receives a first multi-tone signal, where the first multi-tone signal includes N1 frequencies, and N1 is 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 that correspond to k antennas of a first device and that are at the N1 frequencies; and the receiving device determines an angle of a signal of the first device based on the obtained first phase values. The method disclosed in this application can implement fast and high-precision angle measurement.

To provide a monitoring device that can reduce a burden on an area setting person setting a monitoring area.SOLUTION: A monitoring device 10 for monitoring entry into a monitoring area, comprises: a receiving unit that receives radio waves from an IC tag fixedly arranged in a detection area detectable by the monitoring device; a tag information detecting unit that detects tag position information indicative of a position of the IC tag with respect to the monitoring device for each tag on the basis of the radio waves; an output unit that outputs tag detection information including the tag position information for each IC tag to a setting support device supporting setting the monitoring area; a receiving unit that receives area setting information for setting the monitoring area, from the setting support device; and a control unit that sets the monitoring area on the basis of the area setting information.SELECTED DRAWING: Figure 3

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.