Abstract: A method and apparatus for testing an antenna are described.

Abstract: System and methods are disclosed for remote management of mobile satellite antenna modules having an antenna subsystem module (ASM). An ASM periodically transmits a check-in message and metrics data to a server. The server analyzes the check-in message and metrics data to determine a state of operation of the antenna, and determine one or more management commands to improve the performance of the ASM. Information in the metrics data received from each ASM can be queried and processed using machine learning to determine correlation between attributes of the ASMs and performance of the ASMs.

Abstract: A method and apparatus for testing an antenna are described.

Abstract: A method and apparatus for testing an antenna are described.

Abstract: System and methods are disclosed for improving manufacturing processes, improving manufactured products, and improving deployed devices. The devices can be reconfigurable holographic antennas (“antennas”). Manufacturing test results for a plurality of antennas is collected. Field performance data and antenna management information is collected for a plurality of deployed antennas. Query selection criteria, machine learning correlation criteria and a minimum correlation threshold are passed to a server to query for matching records from a data store and to perform machine learning on the query results to generate improvements to processes, manufactured antenna performance and deployed antenna performance.

Abstract: System and methods are disclosed for remote management of mobile satellite antenna modules having an antenna subsystem module (ASM). An ASM periodically transmits a check-in message and metrics data to a server. The server analyzes the check-in message and metrics data to determine a state of operation of the antenna, and determine one or more management commands to improve the performance of the ASM. Information in the metrics data received from each ASM can be queried and processed using machine learning to determine correlation between attributes of the ASMs and performance of the ASMs.

Abstract: A system and method for predictive make-before-break connected vehicle connectivity are described. In one embodiment, the method comprises receiving external information related to a route being taken by a vehicle containing an antenna for use in wireless communication; and proactively switching from a first communication connection to a second communication connection before reaching a location on the route that the vehicle is expected to pass at a future time and at which the first communication connection is expected to be unavailable.

Abstract: A method and apparatus for testing an antenna are described.

Abstract: System and methods are disclosed for remote management of mobile satellite antenna modules having an antenna subsystem module (ASM). An ASM periodically transmits a check-in message and metrics data to a server. The server analyzes the check-in message and metrics data to determine a state of operation of the antenna, and determine one or more management commands to improve the performance of the ASM. Information in the metrics data received from each ASM can be queried and processed using machine learning to determine correlation between attributes of the ASMs and performance of the ASMs.

Abstract: System and methods are disclosed for improving manufacturing processes, improving manufactured products, and improving deployed devices. The devices can be reconfigurable holographic antennas (“antennas”). Manufacturing test results for a plurality of antennas is collected. Field performance data and antenna management information is collected for a plurality of deployed antennas. Query selection criteria, machine learning correlation criteria and a minimum correlation threshold are passed to a server to query for matching records from a data store and to perform machine learning on the query results to generate improvements to processes, manufactured antenna performance and deployed antenna performance.

Abstract: System and methods are disclosed for remote management of mobile satellite antenna modules having an antenna subsystem module (ASM). An ASM periodically transmits a check-in message and metrics data to a server. The server analyzes the check-in message and metrics data to determine a state of operation of the antenna, and determine one or more management commands to improve the performance of the ASM. Information in the metrics data received from each ASM can be queried and processed using machine learning to determine correlation between attributes of the ASMs and performance of the ASMs.