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HEIMDALL

Improve Space Catalog Maintenance With Optimized Tasking

Heimdall schedules ground and space-based sensors intelligently, responding to events in minutes.

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THE PROBLEM

Simplistic Scheduling Doesn’t Optimize Resource Allocation

01

Simplistic approaches can’t balance competing observation goals effectively.

02

Without advanced metrics, scheduling wastes sensor resources on low-value observations.

03

Poor resource allocation delays insights and catalog improvements.

THE SOLUTION

Optimize Sensor Scheduling For Catalog Improvement

01

Rapid sensor tasking responds to events in minutes

02

Optimized scheduling improves space object catalog quality

03

Multi-sensor coordination optimizes ground and space assets

How It Works

Intelligent Sensor Scheduling Optimizes Space Surveillance

01

Optimized scheduling with advanced metrics

Advanced metrics enable better decisions about which objects to observe, prioritizing observations that improve catalog quality the most rather than assigning sensors based only on availability.

Key Capabilities

  • Compute observation opportunities across all sensors
  • Score observations by quality and feasibility
  • Automatically select optimal tasking assignments

02

Flexible sensor configuration and management

Flexible configuration allows real-time updates like removing unavailable sensors, adding new capabilities, adjusting constraints, with scheduling that reflects current network status.

Key Capabilities

  • Configure sensors and attributes dynamically
  • Update sensor status and constraints in real-time
  • Reflect actual network capabilities in tasking

03

Multi-platform sensor coordination and scheduling

Coordinated optimization allocates observations to optimal platforms by taking into account sensor capabilities, constraints, and slew models.

Key Capabilities

  • Integrate government sensor networks
  • Incorporate commercial sensor providers
  • Enable unified tasking across all platforms

04

Flexible observation request management

Structured order management clearly defines requirements, enabling automated evaluation against sensor capabilities and selection of optimal tasking assignments to match operational needs.

Key Capabilities

  • Define observation orders for space objects and areas
  • Specify priorities, timing, and constraints
  • Enable automated matching to sensor capabilities

05

Real-time awareness dashboard

Our real-time dashboard consolidates information improving observation coverage, sensor utilization, and catalog gaps to inform decisions about tasking priorities and resource allocation.

Key Capabilities

  • Display planned observations and schedules
  • Show sensor status and utilization
  • Provide operational metrics and awareness

06

Proven operational heritage and continuous improvement

With several years of operational heritage, Heimdall is proven in secure U.S. government environments. Currently deployed at the NSDC, the system continues to evolve through active Air Force SBIR enhancements.

Key Capabilities

  • Built on proven COTS scheduling algorithms
  • Leverages operational mission planning software
  • Delivers production-grade tasking capability

Proven For US Space Force Sensor Operations

01

Optimized sensor scheduling

Track accuracy and Information Gain metrics

02

Ground and space-based coordination

Multi-platform custom slew optimization

03

Responsive event tasking

Minutes vs hours response to objects/anomalies

04

Proven operational heritage

NSDC deployment, Air Force SBIR contract

FAQ

Common Questions About Optimized Sensor Tasking

What is Heimdall and how does it improve space catalog maintenance?
How does Heimdall optimize sensor observation scheduling?
What types of sensors can Heimdall schedule?
How quickly does Heimdall respond to newly detected objects or events?
Can Heimdall coordinate observations across ground and space-based sensors?
How does Heimdall differ from manual sensor tasking?
What is the Figure-of-Merit and how does it improve tasking?
Does Heimdall have operational deployment history?
How are Heimdall algorithms validated and improved?
What government programs currently use Heimdall for sensor tasking?

Heimdall optimizes SSA/SDA sensor tasking using advanced scheduling algorithms to improve space object catalog maintenance. Heimdall schedules ground-based and space-based sensors intelligently, applying predicted track accuracy, probability of detection, and Figure-of-Merit metrics to drive observations based on Information Gain and catalog error reduction. Optimized scheduling allocates sensors more effectively than manual tasking, resulting in improved accuracy and completeness of the space object catalog.

Heimdall applies advanced metrics—predicted track accuracy, probability of detection, and catalog-specific Figure-of-Merit calculations—to score observation opportunities and schedule sensors optimally. Manual scheduling focuses on basic availability checks without optimization metrics. Intelligent optimization drives tasking decisions based on Information Gain and catalog improvement goals like reducing estimated error covariance, enabling better resource allocation than manual availability-based assignment.

Heimdall schedules ground-based and space-based SSA/SDA sensors with configurable sensor attributes and custom slew-path optimization accommodating sensor-specific constraints. Dashboard configures sensors individually enabling scheduling diverse sensor types with different capabilities and constraints. Unified scheduling coordinates all available sensors—ground stations, space-based platforms, and specialized collection assets—enabling optimized observation allocation across heterogeneous networks.

Heimdall generates new tasking schedules responding to newly detected objects, object activity changes, and sensor anomalies in seconds or minutes instead of waiting until next day’s manual scheduling cycle. Manual tasking delays critical observations forcing operators to wait for scheduled planning phases. Event-driven tasking enables immediate sensor response to emerging situations—addressing new threats or unexpected activity in real-time where manual coordination creates dangerous operational delays.

Yes. Heimdall schedules ground-based and space-based sensors together using custom slew-path optimization and sensor-specific constraints enabling coordinated multi-platform tasking. Manual coordination treats ground and space sensors separately forcing operators managing different systems missing efficiency gains from integrated scheduling. Coordinated optimization allocates observations to optimal platforms—whether ground station or space-based asset—considering capabilities, constraints, and geometry enabling observation efficiency impossible with separated systems.

Heimdall automates optimization scoring and scheduling enabling responses in minutes versus hours for manual tasking while applying advanced metrics manual processes ignore. Manual tasking requires operators checking sensor availability, coordinating windows, seeking approvals and consuming hours per planning cycle. Optimized scheduling applies track accuracy, probability of detection, and Information Gain metrics enabling better resource allocation and faster response to events where manual coordination creates bottlenecks and delays.

Heimdall uses SSA/SDA-specific Figure-of-Merit calculations to score observations and guide tasking decisions based on catalog improvement metrics like reduced error covariance. Figure-of-Merit evaluates which observations contribute most to catalog quality considering track uncertainty, object importance, and observation value. Metric-driven tasking allocates sensors to observations improving overall catalog rather than assigning based only on basic availability enabling better catalog maintenance outcomes.

Yes. Heimdall has been deployed in secured environments for U.S. government customers with multiple years of successful operational heritage. Heimdall is part of the Deep Space Advanced Radar Capability (DARC) program and was deployed at the National Space Defense Center (NSDC), undergoing multiple upgrade cycles based on operator feedback under Air Force SBIR contracts. Operational heritage with continuous improvement cycles demonstrates a trusted system refined through real-world experience, not theoretical capability.

Heimdall algorithms are benchmarked against theoretically optimal sensor schedules in representative SSA/SDA scenarios building trust in optimization performance. Auria and academic partners continuously refine algorithms based on benchmarking results driving improvement and validating that optimization delivers near-optimal performance. Structured validation and continuous improvement ensure algorithms remain state-of-the-art while operator feedback cycles identify enhancements addressing real-world operational needs.

Heimdall is deployed for the Deep Space Advanced Radar Capability (DARC) program and other U.S. government Space Domain Awareness operations including deployment at the National Space Defense Center (NSDC). Air Force SBIR contracts support ongoing development and operational improvements. Government space surveillance programs leverage Heimdall for optimized sensor scheduling improving space object catalog maintenance and enabling faster response to emerging space threats.

Ready To Automate Your Sensor Tasking?

Whether optimizing existing sensor networks or deploying new SDA capabilities, Heimdall eliminates manual scheduling enabling faster, better-informed space surveillance operations.

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