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公开(公告)号:US11277203B1
公开(公告)日:2022-03-15
申请号:US16749779
申请日:2020-01-22
Applicant: ARCHITECTURE TECHNOLOGY CORPORATION
Inventor: Ian McLinden , Jordan Bonney
IPC: H04B10/114 , H04L1/00 , H04B10/66 , H04B10/516
Abstract: Disclosed herein are embodiments of an aerial network system including a first transceiver configured to transmit and receive free space optical (FSO) signals and a second transceiver configured to transmit and receive radio frequency (RF) signals. A processor provides modulated data signals to the first and second transceivers for transmission and receives demodulated signals from the first and second transceiver. The processor is configured for policy-based multipath admission of requests for access to an IP-routing enabled overlay network. The processor includes an inverse mission planning system configured for predictive traffic load balancing of transmitted FSO signals and RF signals. The inverse mission planning system includes radio behavior models and aerial platform models, and is configured for geographic simulation and optimization of mission planning data based upon user-inputted mission-specific data. Forward error correction (FEC) coding of transmitted communications via packet erasure coding provides resiliency with a low bit error rate.
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公开(公告)号:US12278664B1
公开(公告)日:2025-04-15
申请号:US17986689
申请日:2022-11-14
Applicant: Architecture Technology Corporation
Inventor: Ian Mclinden , Jordan Bonney
IPC: H04B10/114 , H04B10/516 , H04B10/66 , H04L1/00
Abstract: Disclosed herein are embodiments of an aerial network system including a first transceiver configured to transmit and receive free space optical (FSO) signals and a second transceiver configured to transmit and receive radio frequency (RF) signals. A processor provides modulated data signals to the first and second transceivers for transmission and receives demodulated signals from the first and second transceiver. The processor is configured for policy-based multipath admission of requests for access to an IP-routing enabled overlay network. The processor includes an inverse mission planning system configured for predictive traffic load balancing of transmitted FSO signals and RF signals. The inverse mission planning system includes radio behavior models and aerial platform models, and is configured for geographic simulation and optimization of mission planning data based upon user-inputted mission-specific data. Forward error correction (FEC) coding of transmitted communications via packet erasure coding provides resiliency with a low bit error rate.
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公开(公告)号:US11196157B1
公开(公告)日:2021-12-07
申请号:US16887175
申请日:2020-05-29
Applicant: ARCHITECTURE TECHNOLOGY CORPORATION
Inventor: Jordan Bonney , Barry Trent
Abstract: A communication optimization system/method for mobile networks uses a server that generates waypoints based on a first communication network within a route to be travelled by an aerial vehicle, the aerial vehicle comprising a communication hub configured to communicate with at least one communication node, a communication hub controller configured control movement of a steerable antenna, and an aerial vehicle controller configured control movement of the aerial vehicle. The server then transmits the waypoints to the aerial vehicle controller; periodically monitors networks not connected to the communication hub; when a second communication network not connected to the communication hub satisfies a threshold, transmits causes the communication controller to steer the steerable antenna in a direction of the second communication network, further causing the communication hub to communicate and connect with the second communication network.
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公开(公告)号:US11710897B1
公开(公告)日:2023-07-25
申请号:US17543275
申请日:2021-12-06
Applicant: ARCHITECTURE TECHNOLOGY CORPORATION
Inventor: Jordan Bonney , Barry Trent
CPC classification number: H01Q3/005 , G01C21/20 , G05D1/0022 , G05D1/101 , H04B7/1851 , H04B7/18506 , H04W84/06
Abstract: A communication optimization system/method for mobile networks uses a server that generates waypoints based on a first communication network within a route to be travelled by an aerial vehicle, the aerial vehicle comprising a communication hub configured to communicate with at least one communication node, a communication hub controller configured control movement of a steerable antenna, and an aerial vehicle controller configured control movement of the aerial vehicle. The server then transmits the waypoints to the aerial vehicle controller; periodically monitors networks not connected to the communication hub; when a second communication network not connected to the communication hub satisfies a threshold, transmits causes the communication controller to steer the steerable antenna in a direction of the second communication network, further causing the communication hub to communicate and connect with the second communication network.
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公开(公告)号:US11563488B1
公开(公告)日:2023-01-24
申请号:US17587859
申请日:2022-01-28
Applicant: Architecture Technology Corporation
Inventor: Ian McLinden , Jordan Bonney
IPC: H04B10/114 , H04L1/00 , H04B10/66 , H04B10/516
Abstract: Disclosed herein are embodiments of an aerial network system including a first transceiver configured to transmit and receive free space optical (FSO) signals and a second transceiver configured to transmit and receive radio frequency (RF) signals. A processor provides modulated data signals to the first and second transceivers for transmission and receives demodulated signals from the first and second transceiver. The processor is configured for policy-based multipath admission of requests for access to an IP-routing enabled overlay network. The processor includes an inverse mission planning system configured for predictive traffic load balancing of transmitted FSO signals and RF signals. The inverse mission planning system includes radio behavior models and aerial platform models, and is configured for geographic simulation and optimization of mission planning data based upon user-inputted mission-specific data. Forward error correction (FEC) coding of transmitted communications via packet erasure coding provides resiliency with a low bit error rate.
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