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1. 发明公开

US20240288530A1 METHOD FOR DETECTION AND GEOLOCATION OF TARGET DEVICE IN 3D SPACE 审中-公开
公开(公告)号：US20240288530A1
公开(公告)日：2024-08-29
申请号：US18115742
申请日：2023-02-28
申请人： Booz Allen Hamilton Inc.
发明人： Eric Yu-Jen Tseng
IPC分类号： G01S5/02 , G01S5/14
CPC分类号： G01S5/0221 , G01S5/0278 , G01S5/14
摘要： Methods and devices for detection and geolocation of a target device in three-dimensional space are provided. A method may include capturing baseline information in an area of operation and receiving information associated with one or more detected signals from a target device within the area of operation. The one or more detected signals from the target device include information indicating a device identifier associated with the target device. The method may include filtering the baseline information from the one or more detected signals from the target device based on the indicated device identifier. The method may include calculating a three-dimensional location of the device based on a signal strength of the detected one or more signals and a plurality of three-dimensional locations where the one or more signals were detected. The method may include plotting the three-dimensional location of the target device on a map within a graphical user interface (GUI).

2. 发明公开

US20240230821A1 METHOD AND SYSTEM FOR LOCATING OBJECTS WITHIN A MASTER SPACE USING MACHINE LEARNING ON RF RADIOLOCATION 审中-公开
公开(公告)号：US20240230821A1
公开(公告)日：2024-07-11
申请号：US18613946
申请日：2024-03-22
申请人： Cognosos, Inc.
发明人： Nishith M. Parikh , James A. Stratigos, JR. , Cheng QI , Joseph Kilburn Koberg
IPC分类号： G01S5/00 , G01S5/02 , G06K7/10 , G06N20/10
CPC分类号： G01S5/013 , G01S5/0278 , G06K7/10297 , G06N20/10
摘要： 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.

3. 发明授权

US12019175B2 Geolocationing system and method for use of same 有权
公开(公告)号：US12019175B2
公开(公告)日：2024-06-25
申请号：US18172007
申请日：2023-02-21
申请人： Enseo, LLC
发明人： William C. Fang , Raymond S. Horton , Thomas R. Miller , Vanessa Ogle
IPC分类号： G01S3/02 , G01S5/02 , G01S5/08 , H04W48/12 , H04W88/16
CPC分类号： G01S5/08 , G01S5/02213 , G01S5/0278 , G01S2201/025 , H04W48/12 , H04W88/16
摘要： A geolocationing system and method for providing awareness in a multi-space environment, such as a hospitality environment or educational environment, are presented. In one embodiment of the geolocationing system, a vertical and horizontal array of gateway devices is provided. Each gateway device includes a gateway device identification providing an accurately-known fixed location within the multi-space environment. Each gateway device includes a wireless transceiver that receives a beacon signal from a proximate wireless-enabled personal locator device. The gateway devices, in turn, send gateway signals to a server, which determines estimated location of the wireless-enabled personal location device with angle of arrival modeling.

4. 发明授权

US11927685B2 Estimating user risk based on wireless location determination 有权
公开(公告)号：US11927685B2
公开(公告)日：2024-03-12
申请号：US17645095
申请日：2021-12-20
申请人： Juniper Networks, Inc.
发明人： Neal Dante Castagnoli , Mohammad Zohoorian
IPC分类号： G01S5/02 , G01S5/14 , G08B21/02 , G16H50/30 , G16H50/80 , G16H70/60 , H04W4/02
CPC分类号： G01S5/0289 , G01S5/0278 , G01S5/14 , G08B21/02 , G16H50/30 , G16H50/80 , G16H70/60 , H04W4/023
摘要： Disclosed are embodiments for estimating risk associated with a user of a wireless device. In some embodiments, the risk relates to a risk of infection by a contagious disease. For example, in some embodiments, the contagious disease is Coronavirus 2019. In some embodiments, locations of multiple wireless devices are estimated based on signal strengths of signals associated with the devices. Neighboring devices are identified based on highest probability regions of the devices that are determined based on associated signals. A measure of proximity to other devices is then determined based on probabilities that each device is located in neighboring regions. The risk is then based on the measure of proximity. In some embodiments, a risk of a first user associated with a first wireless device is based, in part, on a risk of a second user within a proximity of the first user.

5. 发明授权

US11887007B2 Machine learning techniques for precise position determination 有权
公开(公告)号：US11887007B2
公开(公告)日：2024-01-30
申请号：US17987409
申请日：2022-11-15
申请人： Intel Corporation
发明人： Jeongsik Choi , Venkatesan Nallampatti Ekambaram , Yang-Seok Choi
IPC分类号： G06N3/08 , G06N3/084 , G06N3/04 , G01S5/02 , G01S5/14 , H04W24/08 , H04B7/06
CPC分类号： G06N3/084 , G01S5/0278 , G01S5/14 , G06N3/04 , H04B7/0626 , H04W24/08
摘要： Systems, methods, computer program products, and apparatuses to determine, by a neural network based on training data related to wireless signals exchanged by a device and a plurality of wireless access points in an environment, a respective distance between the device and each wireless access point, receive location data related to a respective location of each wireless access point of the plurality of wireless access points, determine a geometric cost of the neural network based on a geometric cost function, the respective distances, and the received location data, and train a plurality of values of the neural network based on a backpropagation and the determined geometric cost.

6. 发明授权

US11885900B2 Method and system for tracking a mobile device 有权
公开(公告)号：US11885900B2
公开(公告)日：2024-01-30
申请号：US17420568
申请日：2020-01-10
申请人： Technische Universität München
发明人： Georgios Pipelidis , Nikolaos Tsiamitros , Christian Prehofer
IPC分类号： H04W4/02 , G01S5/02 , G01C21/20
CPC分类号： G01S5/0278 , G01C21/206 , H04W4/027
摘要： A computer-implemented method for tracking a mobile device based on a series of motion measurements of said device comprises retrieving a topological map providing a graph of topological paths, wherein each topological path is associated with a corresponding path direction; statistically generating, on a virtual map, a plurality of particles around an estimated initial position of the mobile device, representing an initial uncertainty of said estimated initial position of the mobile device; determining, from said series of motion measurements, a measured displacement vector of the mobile device representing an estimated displacement direction and an estimated displacement distance of the mobile device; displacing each of said particles on the virtual map according to a randomized particle displacement vector which is derived from said measured displacement vector based on an uncertainty of the measured displacement vector and recording said particle displacement vector for each displaced particle; determining a weight of each particle based on a comparison of the respective particle displacement vector with the path direction of an adjacent topological path and/or based on a distance of the particle to the adjacent topological path; selecting a subset of said displaced particles for resampling based on a particle-weight dependent selection criterion; and regenerating said selected subset of displaced particles within a particle regeneration area around a current mean location of the plurality of particles according to a probability distribution.

7. 发明授权

US11860291B2 Determining a location of an electronic device 有权
公开(公告)号：US11860291B2
公开(公告)日：2024-01-02
申请号：US17693038
申请日：2022-03-11
申请人： Embarcadero Technologies, Inc.
发明人： Michael L. Swindell , Diego Navarro , Jorge Alcalde , Ivan Gracia Maciá
IPC分类号： G01S5/14 , G01S1/02 , H04W4/029 , G01S5/00 , G01S5/02 , H04W4/02 , H04W4/021
CPC分类号： G01S5/14 , G01S1/024 , G01S5/0036 , G01S5/0278 , H04W4/021 , H04W4/023 , H04W4/029
摘要： In a method for determining a location of an electronic device, a plurality of beacon signals are received from a plurality of beacon devices at the electronic device, wherein each beacon signal of the plurality of beacon signals includes an identity of a beacon device transmitting a respective beacon signal, and each beacon device of the plurality of beacon devices has a known location. A received signal strength for each beacon signal of the plurality of beacon signals is measured. A distance of the electronic device from each beacon device for which the plurality of beacon signals is received is determined, wherein the distance of the electronic device from a beacon device is based at least in part on the received signal strength of the beacon signal transmitted by the beacon device. A location of the electronic device is determined based at least on part on the distance of the electronic device from each beacon device for which the plurality of beacon signals is received.

8. 发明公开

US20230324501A1 ROBUST TOA-ESTIMATION USING CONVOLUTIONAL NEURAL NETWORKS (OR OTHER FUNCTION APPROXIMATIONS) ON RANDOMIZED CHANNEL MODELS 审中-公开
公开(公告)号：US20230324501A1
公开(公告)日：2023-10-12
申请号：US18333650
申请日：2023-06-13
申请人： Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
发明人： Tobias FEIGL , Ernst EBERLEIN , Christopher MUTSCHLER , Sebastian KRAM
IPC分类号： G01S5/02 , G06N3/0464 , G06N3/08
CPC分类号： G01S5/0278 , G06N3/08 , G06N3/0464 , G01S5/0273
摘要： Methods and systems related to neural networks or other function approximators operate for training a neural network is provided, or another function approximator, for inferring a predetermined time of arrival of a predetermined transmitted signal on the basis of channel-impulse-responses, CIRs, of transmitted signals between a mobile antenna and a fixed antenna, the method having: obtaining a channel impulse response condition characteristic, CIRCC, descriptive of channel impulse responses of transmitted signals associated with mobile antenna positions within a reach of the fixed antenna; generating, by simulation, a training set of simulated CIRs which are associated with different times of arrival in one or more simulated scenes, and which fit to the CIRCC; training the neural network, or other function approximator, using the simulated CIRs and the different associated times of arrivals to obtain a parametrization of the neural network, or other function approximator, associated with the CIRCC.

9. 发明公开

US20230324500A1 POSITION DETERMINATION SYSTEMS AND METHODS UTILIZING ERROR OF MULTIPLE CANDIDATE POSITIONS 审中-公开
公开(公告)号：US20230324500A1
公开(公告)日：2023-10-12
申请号：US18334204
申请日：2023-06-13
申请人： University of Washington
发明人： Matthew E. Tolentino
IPC分类号： G01S5/02 , G01S5/14
CPC分类号： G01S5/0268 , G01S5/14 , G01S5/0244 , G01S5/0278
摘要： Examples of systems and methods described herein may be used to track a tagged object through a scene. Techniques are described herein to calculate a position of the tag using wireless communication with multiple anchor devices. In some examples, the anchor devices may be self-localizing, e.g., they may dynamically determine their position and relationship to one another. In some examples, position of a tag may be calculated by calculating multiple candidate positions using different localization techniques—such as geometric localization techniques and/or optimization-based techniques. An error may also be identified associated with each candidate position. A final position may be determined for the tag based on the errors associated with the candidate positions (e.g., the candidate position with the smallest error may be utilized as the position, e.g., the determined position, of the tag).

10. 发明公开

US20230266430A1 METHOD FOR A MULTI-DOMAIN GEOLOCALIZATION 审中-公开
公开(公告)号：US20230266430A1
公开(公告)日：2023-08-24
申请号：US18172073
申请日：2023-02-21
申请人： Airbus Defence and Space GmbH
发明人： Bernhard KRACH , Marco MEHLING
IPC分类号： G01S5/02
CPC分类号： G01S5/0278
摘要： A method for determining positions of n target objects, each emitting electromagnetic signals, by m spatially distributed observers, by: carrying out direction-finding measurements by each of the m observers with respect to at least a part of the n targets, collecting the direction-finding measurements by one of the m observers or an external evaluation unit; ascertaining a geometric probability distribution from each of the direction-finding measurements in a partial map; combining the partial maps in order to generate a plurality of possible hypotheses; adding up the possible hypotheses with a respective weighting to form an overall map in order to obtain a marginalized probability distribution that takes all hypotheses into account; and eliminating, step-by-step, hypotheses that are incompatible with the marginalized probability distribution. Also a system for determining positions of emitters from target objects.

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