Hybrid Virtual Live Training System for Sensor Range Constraints
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Solution Overview
Problem
Traditional training methods using live training aids are limited by physical and geographical constraints, such as range and weather conditions, which restrict the realism and effectiveness of training scenarios, especially for high-performance aircraft and systems.
Innovation Solution
A system and method that blend virtual entities with actual live entities within a trainee presentation, allowing for a seamless transition from virtual to live entities based on correlating characteristics, enabling realistic sensor-based training scenarios without physical or geographic limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If a virtual training aid is used to extend range beyond physical constraints, then the training scenario can cover beyond visual range (BVR) and beyond local sensor range, but the trainee's sensors cannot successfully image the training aid, resulting in negative training
Solution Approach 1:
The patent introduces an intermediary system that mediates between the virtual training aid and the trainee's sensors. This intermediary presents sensor data and imagery that is consistent with the virtual entity's characteristics, allowing the trainee's sensors to successfully image and interact with the virtual training aid as if it were a real target, thereby resolving the imaging capability issue while maintaining extended range benefits
Solution Approach 2:
The patent creates a virtual copy of the training aid that replicates the sensory characteristics and imaging properties of a real aircraft. This virtual copy can be imaged by the trainee's sensors (radar, targeting pod, pilot's eyeballs) just like a real target, providing realistic sensor-based training while eliminating the physical range and geographical constraints of live training aids
2Reliability
If a live training aid is used for close in visual or local sensor based training, then realistic sensor imaging is achieved, but the training is limited by physical boundaries, weather conditions, and geographical constraints
Solution Approach 1:
The patent creates a universal training system that can function in both live and virtual modes, adapting to different training requirements. The system can present virtual training aids for BVR and beyond sensor range training, and seamlessly transition to presenting live training aids for close-in visual training, providing multi-functional training capabilities that overcome the limitations of using either approach alone
3Reliability
If high performance aircraft capabilities are simulated, then realistic threat presentation is achieved, but live training aids are constrained by service ceiling, maintenance issues and speed limitations
Solution Approach 1:
The patent uses virtual copies to simulate high-performance aircraft capabilities that exceed the physical limitations of live training aids. The virtual training aids can achieve any speed, altitude, and performance characteristic required for realistic threat presentation without being constrained by service ceiling, maintenance issues, or speed limitations of actual aircraft
4Quantity of substance
If multiple platforms are used on a training range, then comprehensive training scenarios are possible, but the training is limited by the finite geographical space and weather conditions
Solution Approach 1:
The patent creates a universal training environment that can accommodate any number of training platforms and scenarios without being constrained by geographical boundaries or weather conditions. The virtual training aids can be positioned anywhere in the virtual airspace, allowing comprehensive training scenarios to be executed regardless of the actual physical environment or atmospheric conditions
Data Source
AI summary
A system and method are disclosed for offering a trainee presentation blending live and virtual entities to create a training scenario unconstrained by live entity operational performance and geographical limitations. The system blends an instance of a virtual entity with an actual presentation of a live entity within a trainee presentation. Outside of trainee local sensor range, the system presents a virtual entity to the trainee while occluding local sensor presentation of the live entity. As the scenario progresses to a lessor range or higher criticality, the system offers the live entity emulation information concerning characteristics of the virtual entity so the live entity may anticipate and begin to emulate the virtual. At a crossover point, the system determines if the live entity has successfully emulated the virtual and if so, discontinues presentation of the virtual while removing the occlusion allowing presentation of the live entity.