Aerospace-Ground Integration Testbed for Mission Analysis
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Solution Overview
Problem
Conventional testbeds have limited capacity to provide end-to-end mission analysis for complex tactical scenarios involving high-fidelity sensors and unmanned systems, making it difficult to predict performance accurately for both current and next-generation systems.
Innovation Solution
An aerospace-ground integration testbed is developed, incorporating a truth data scheme, common sensor adaptor, common sensor framework, visualization scheme, and communications scheme, along with a human-machine interface and advanced mission control element, to generate and analyze system-of-systems performance data, including truth data, sensed data, and visual data, enabling predictive analytics and real-time testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional testbeds are used, then system integration and testing can be performed, but the capacity to provide end-to-end mission analysis for complex tactical scenarios is limited
Solution Approach 1:
The testbed is segmented into distinct functional modules: sensor models generate sensed data from truth data, communication models transmit data between entities, mission analysis models process tactical scenarios, and visualization models present results. This modular segmentation enables comprehensive mission analysis capacity while managing complexity through clear module boundaries and interfaces.
Solution Approach 2:
The testbed employs universal interfaces and standardized data formats that allow the same infrastructure to support multiple tactical scenarios, sensor types, and analysis methods. The common data bus and standardized protocol layers enable the system to adapt to different mission requirements without requiring complete system redesign.
2Measurement precision
If high-fidelity sensors and unmanned systems are integrated, then tactical capabilities are enhanced, but accurate performance prediction becomes difficult
Solution Approach 1:
The testbed creates virtual copies of high-fidelity sensors and unmanned systems through detailed mathematical models that replicate their operational characteristics. These software-based copies allow performance prediction by simulating sensor behavior and system responses under various tactical conditions, enabling accurate prediction without requiring physical prototypes for each test scenario.
Solution Approach 2:
The system performs preliminary performance analysis through Monte Carlo simulations and trade studies before actual system deployment. By running numerous simulated missions with varied parameters and conditions, the testbed predicts performance outcomes in advance, allowing designers to optimize systems before costly physical testing or deployment.
3Reliability
If comprehensive trade studies and Monte Carlo analyses are performed, then performance predictions improve, but computational resources and time increase
Solution Approach 1:
The testbed implements progressive analysis where initial trade studies use simplified models for quick assessments, then selectively apply full Monte Carlo simulations only to critical design decisions or ambiguous results. This partial application of comprehensive analysis maintains prediction accuracy for key parameters while reducing overall computational time and resource requirements.
Data Source
AI summary
An aerospace-ground integration testbed may include a truth data scheme, a common sensor adaptor, a common sensor framework, a visualization scheme and a communications scheme. The truth data scheme may generate truth data configured to provide data of at least one of threats, terrain, targets and offensive and defensive systems. The common sensor adaptor may provide sensed data generated from at least the truth data. The common sensor framework may provide modeled sensed data generated from at least the truth data utilizing sensor models. The visualization scheme may generate visual data to be displayed from the sensed data and the modeled sensed data. The communications scheme may provide communication and testbed messaging infrastructure between the truth data scheme, the common sensor adaptor, the common sensor framework, and the visualization scheme.