Maxar Space LLC

Hewlett-packard Development Company, L.p.

William M Gray

William Hreha

James Pham

Sherrie Schmit

Thomas Herman Szolyga

Peter Piet

Curtis P Kolovson

Lawrence D Wiebe

Thomas C Leisgang

A system for aggregating spaced related systems includes accessing service provider information for multiple service providers to determine relevant services/systems available, automatically determining that no single service provider provides services sufficient to perform a particular space activity, automatically identifying multiple services from different service providers that in aggregate include performing the space activity, and automatically determining a parameter to configure space equipment to perform each of the multiple services from the different service providers in order to perform the space activity. In some embodiments, this system can be scaled across multiple regions (e.g., multiple planetary regions). For example, each region can have its own set of servers and ledgers that provide real-time services within the region and opportunistically synchronize between regions (e.g., when communication is available).

Aggregated space system network

A scalable signal processing system is disclosed that processes digitized spectrum received from a constellation of satellites (or other sources), extracting multiple digital signals from multiple sources through multiple acquisition sites that is virtualized with high availability. A system of one or more antennas can receive a range of frequencies of raw spectrum covering multiple visible orbit planes, where a single antenna can receive signals from multiple satellite concurrently. This can be particularly useful when establishing a constellation satellites, where a number of satellites can be grouped together within an antenna's field of view. A group of digitizers receive the signals from the antennas and creates raw samples to form a spectrum sample pool. The spectrum sample pool is stored in a raw frame archive, where the digitizers and raw frame archive can be co-located and can also be co-located with one or more of the antennas.

High availability scalable multi-source virtualized spectrum signal processing system

A scalable, extensible, multi-tenancy multi-mission configurable spacecraft system is provided that allows applications to be deployed and managed across many spacecraft. One embodiment includes a plurality of satellites in orbit, where each satellite includes an antenna, a memory configured to store a non-virtualized operating system and one or more software applications, and a processor connected to the antenna and the memory. The processor is configured to run the non-virtualized operating system and to run the one or more software applications. The processors and the applications can be managed by ground terminals or other satellites.

Multi-mission configurable spacecraft system

The present invention includes a method and apparatus for recording data. According to the present invention, the method and apparatus includes the implementation of a 'circular' buffer whereby data is capable of being recorded in a circular fashion. By implementing a circular buffer, large amounts of data can be recorded over long periods of time without the use of cumbersome video tapes and the like. An aspect of the present invention includes an apparatus for recording data. The apparatus includes an input sensor for receiving data, a buffer coupled to the input sensor wherein the buffer includes a plurality of storage portions, a central processing unit coupled to the buffer and the input sensor wherein the central processing unit stores the data in the plurality of storage portions in a circular fashion and an interface coupled to the buffer for allowing a remote data accessing device to access a specific portion of the data stored in the buffer.

Apparatus and method for recording data in a circular fashion

A semi-automated availability-assessment system and methodology. A comprehensive questionnaire providing detailed information about the hardware and operating-system components and configuration of a system, application-and-database-software components and configuration of the system, data related to other potential sources of unplanned downtime, and data related to potential sources of planned downtime is received. The information contained in the received questionnaire is processed in several steps. First, hardware and operating-system-component-and-configuration information is extracted in order to conduct a Markov-chain availability analysis of the overall system hardware and operating system to provide a first intermediate result. Application-and-database-software component and configuration information, along with data and estimates related to software component failure and recovery rates, as well as relevant data for other potential sources of unplanned downtime, are extracted from the questionnaire and compiled together to form a second intermediate result. Information related to maintenance and other planned activities that result in planned system downtime are extracted from the questionnaire and compiled together as a third intermediate result. Finally, the intermediate result sets are combined in a deterministic manner to produce a final availability assessment for the system.

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Colorado Springs, CO, United States of America

William M Gray