SYSTEM AND METHOD FOR SPACE SITUATIONAL AWARENESS DEMONSTRATION

    公开(公告)号:US20180268605A1

    公开(公告)日:2018-09-20

    申请号:US15971940

    申请日:2018-05-04

    CPC classification number: G06T1/20 B64G7/00 G06T2210/52 G08G99/00

    Abstract: Methods and systems for space situational awareness (SSA) demonstration are provided. The system includes a space data collector component, for collecting space initialization data of space objects from initialized space sources and pre-processing the space initialization data; a data relocation component, for distributing the space initialization data pushed from the space data collector component into multiple streaming channels for streaming; a streaming platform, for streaming, mapping, and reducing the space initialization data from the data relocation component to provide streamed data; a real-time analysis component, for calculating the streamed data to conduct a real-time detecting and tracking analysis of the space objects by implementing algorithms for one or more of space uncertainty propagation, space object tracking, sensor management, and collision avoidance; and a space visualization component, for displaying a visualization of space situational awareness (SSA) based on analyzed results from the real-time analysis component.

    SATELLITE COMMUNICATION FRAMEWORK AND CONTROL METHOD THEREOF

    公开(公告)号:US20200266883A1

    公开(公告)日:2020-08-20

    申请号:US16275859

    申请日:2019-02-14

    Abstract: A satellite communication framework includes a satellite system controller; at least one satellite transponder; and a plurality of remote terminals, each including a modem, a router, and a terminal agent. The terminal agent is configured to, based on a current allowable data rate and measurements of a current router queue size and a current router packet arrival rate, use a delayed uplink resource assignment for each modem and an MCV-based flow-control policy to forecast a future router queue size and a future router packet arrival rate and further update the delayed uplink resource request for a time after an uplink allocation delay. The modem is configured to communicate with the router and also with the satellite system controller through the satellite transponder, perform modulation and demodulation, and manage packet loss and delay according to the future router queue size and the future router packet arrival rate.

    MIMO BOLT-ON DEVICE, MIMO CHANNEL EMULATOR, AND MIMO CHANNEL EMULATION METHOD

    公开(公告)号:US20200304175A1

    公开(公告)日:2020-09-24

    申请号:US16358114

    申请日:2019-03-19

    Abstract: A multiple-input and multiple-output (MIMO) bolt-on device for a single-input and single-output (SISO) radio, a MIMO channel emulator for testing the MIMO bolt-on device, and a MIMO channel emulation method are provided. The MIMO bolt-on device includes: a plurality of antennas, a multi-channel receiver, a plurality of couplers, a micro-controller, and a switch device. The multi-channel receiver includes a plurality of channels for signal transmission. Each coupler is configured to couple the multi-channel receiver with one of the plurality of antennas. The micro-controller is coupled to the multi-channel receiver to compare signals from the plurality of channels, thereby identifying a channel with a highest signal-to-noise (SNR) among the plurality of channels. The switch device is coupled to the micro-controller and configured to select an antenna corresponding to the channel with the highest SNR among the plurality of antennas for a connection between a selected antenna and the SISO radio.

    GATED RANGE SCANNING LFMCW RADAR STRUCTURE
    7.
    发明申请

    公开(公告)号:US20180329047A1

    公开(公告)日:2018-11-15

    申请号:US15344365

    申请日:2016-11-04

    CPC classification number: G01S13/34 G01S7/354 G01S13/18 G01S13/343

    Abstract: The present disclosure provides a gated range scanning linear frequency modulated continuous wave (LFMCW) radar structure, including: a frequency synthesizer, a first mixer, a second mixer, a first filter, and a third mixer. The frequency synthesizer is configured for generating a first local oscillating signal and a second local oscillating signal, a frequency of the first local oscillating signal varying in a frequency range, each frequency corresponding to a sub-range of a coverage range scanned by the LFMCW radar structure. The first mixer is configured for mixing a copy of a transmitted signal and the first local oscillating signal to generate a first output signal (the receiver's first local oscillator). The second mixer is configured for mixing the first output signal and a received signal from a receiving antenna to generate a second output signal that includes an intermediate frequency (IF) signal being received by the first filter.

    METHODS AND SYSTEMS PROVIDING CYBER SECURITY

    公开(公告)号:US20170257396A1

    公开(公告)日:2017-09-07

    申请号:US15057234

    申请日:2016-03-01

    CPC classification number: H04L63/1491 G06N7/005 H04L63/1408

    Abstract: For cyber security, a computer with network access incorporates game theory and utilizes a honey net to enhance game-theoretic developments over active and passive sensors. To numerically solve the uniquely three-sided game modeled cyber security problem, a geometry method based on 3D action curves can be applied. The method can first determine whether the game problem has one Nash equilibrium, multiple Nash equilibriums, or no Nash equilibrium; can check the equilibrium is a mixed or pure Nash; can timely compute Nash equilibriums; and follows a fictitious play concept. The solution is adaptive and can be applied for any partially observed cyber security system.

    METHOD AND SYSTEM FOR PREDICTING COLLISION PROBABILITY OF SPACE OBJECTS VIA GRAPHICS PROCESSING UNIT

    公开(公告)号:US20170124758A1

    公开(公告)日:2017-05-04

    申请号:US14927428

    申请日:2015-10-29

    Abstract: Method and system for predicting collision probability of space objects are provided. Space objects are allocated according to a total number thereof for parallel computation in a GPU device. Initial orbit states of the space objects are generated by an initial-orbit-state generation kernel of the GPU device. Orbit propagation for each space object is performed based on the initial orbit state to predict a state of each space object by an orbit propagation kernel of the GPU device. The predicted states of the space objects are collected by a predicted-orbit-state collection kernel of the GPU device. A real-time visualization and rendering of the predicted space objects are performed in a form of point cloud during interactions between CPU threads and GPU kernels. A CPU host predicts a collision probability of any two space objects among the multitude of space objects, according to the interactions between the CPU threads and the GPU kernels.

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