Locating radio transmission source by scene reconstruction

    公开(公告)号:US10976407B2

    公开(公告)日:2021-04-13

    申请号:US16586560

    申请日:2019-09-27

    Abstract: Systems and techniques for locating a radio transmission source by scene reconstruction are described herein. A multipath radio signal—comprised of two or more multipath components—may be received at an antenna array. A collection of angle-of-arrival (AoA) values may be created from the multipath components. Thus, each AoA in the collection corresponds to one of the multipath components. An optical image of the environment may be obtained and possible reflective surfaces for the multipath components identified in the optical image. A set of paths may be created in a model of the environment by backtracking from the antenna array along the AoAs in the collection of AoA values. Here, the backtracking simulates reflections of the ray off of the surfaces identified in the optical image. A transmitter of the multipath radio signal may then be located via the set of paths.

    Method and device for radar signal detection

    公开(公告)号:US10416282B2

    公开(公告)日:2019-09-17

    申请号:US15282937

    申请日:2016-09-30

    Abstract: This disclosure relates to a method for radar signal detection, the method comprising: scanning a radio channel by a scanning filter in a first frequency subband to provide an incoming signal; detecting a potential radar signal in the incoming signal based on prior knowledge of a structure of the radar signal; and if the potential radar signal is detected, keeping the scanning filter in the first frequency subband; if no potential radar signal is detected, adjusting the scanning filter to a second frequency subband.

    AUTOMATED NETWORK CONTROL SYSTEMS THAT ADAPT NETWORK CONFIGURATIONS BASED ON THE LOCAL NETWORK ENVIRONMENT

    公开(公告)号:US20230224237A1

    公开(公告)日:2023-07-13

    申请号:US18147446

    申请日:2022-12-28

    CPC classification number: H04W24/02 H04L41/16 H04W52/245

    Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

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