Automated Planning for a Deep Space Communications Station

Using Artificial Intelligence Planning to Generate Antenna Tracking Plans

This paper describes the application of Artificial Intelligence planning techniques to the problem of antenna track plan generation for a NASA Deep Space Communications Station. The described system enables an antenna communications station to automatically respond to a set of tracking goals by correctly configuring the appropriate hardware and software to provide the requested communication se...

Automated Planning for a Deep Spa e Communi ations Station

Spatial Planning for International Space Station Crew Operations

An important aspect of mission planning for NASA’s operation of the International Space Station is the allocation and management of space for supplies and equipment. The Stowage, Configuration Analysis, and Operations Planning teams collaborate to perform the bulk of that planning. A peer-to-peer automated planning architecture is proposed to support the three teams in a way that maps naturally...

Cost and Performance Comparison of an Earth-Orbiting Optical Communication Relay Transceiver and a Ground-Based Optical Receiver Subnet

Optical communications can provide high-data-rate telemetry from deep-space probes with subsystems that have lower mass, consume less power, and are smaller than their radio frequency (RF) counterparts. However, because optical communication is more affected by weather than is RF communication, it requires groundstation site diversity to mitigate the adverse effects of inclement weather on the ...

Deep Space Terminal Demonstration

The Deep Space Terminal (DS-T) was a task that validated the concept of a fully automated, autonomous deep-space ground station. The DS-T successfully demonstrated “lights out”-mode ground-station operations using a Deep Space Network 34-meter beam-waveguide antenna that tracked a NASA deep-space probe orbiting Mars. The DS-T receives, processes, records, and distributes telemetry data to the p...