Simulated Adversary Data Injection for Aircraft Tactics Training
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Solution Overview
Problem
In aircraft tactics training, non-representative adversary aircraft used for training lack the physical and electronic characteristics of real-life combat scenarios, leading to less effective pilot training, as they may not accurately represent the attributes of adversary aircraft encountered in actual combat.
Innovation Solution
A computer-implemented method that receives and merges simulated packet-based data representing realistic adversary aircraft attributes with sensor data from non-representative adversary aircraft, creating a training simulation that enhances the realism of combat scenarios, allowing pilots to train against digitally transformed, more representative adversary aircraft.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If non-representative adversary aircraft are used for training, then training cost and availability are improved, but training realism and effectiveness deteriorate
Solution Approach 1:
The patent creates a digital copy of the representative adversary aircraft's sensor data and transmits it to the live-force aircraft. This allows the use of non-representative physical aircraft while maintaining realistic training scenarios through simulated sensor returns that replicate the electronic signature and detection characteristics of the original adversary aircraft.
Solution Approach 2:
The system introduces a data transmission and simulation system as an intermediary between the non-representative training aircraft and the live-force aircraft's sensor system. This intermediary transforms and injects simulated sensor data into the live-force aircraft's sensor input, effectively mediating the interaction to create realistic training conditions.
2Reliability
If representative adversary aircraft are used for training, then training realism is improved, but availability and cost-effectiveness deteriorate
Solution Approach 1:
Instead of requiring physical representative adversary aircraft, the system creates digital copies of their sensor characteristics and transmits these as simulated data. This allows multiple training scenarios to be conducted simultaneously using inexpensive non-representative aircraft while maintaining the realism of representative aircraft encounters.
Solution Approach 2:
The system changes the parameters of the training environment by injecting simulated sensor data that modifies the electronic signature and detection characteristics of the adversary aircraft. This allows the physical aircraft to have different operational parameters (cost, availability) while maintaining the desired detection and training parameters (realism, representativeness).
3Reliability
If simulated packet-based data is merged with sensor data, then training realism is improved, but data processing complexity increases
Solution Approach 1:
The patent merges simulated packet-based adversary data with actual sensor data from the training aircraft into a unified data stream. This combination allows the live-force aircraft's systems to process both real and simulated information together, creating authentic training scenarios without requiring separate processing pathways.
Solution Approach 2:
The data transmission system is designed to be universal, working with existing aircraft sensor systems and data buses without requiring specialized dedicated processing systems. The simulated data is formatted to be compatible with standard aircraft sensor inputs, allowing the same system to handle both real and simulated data through existing multi-functional data pathways.
Data Source
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AI summary
A computer-implemented method includes receiving, via an airborne network and by a computing device associated with a live-force aircraft in a training environment, simulated data representing simulated attributes of an adversary aircraft, wherein the simulated data is packet based; and executing, by the computing device, one or more operations based on receiving the simulated data for creating a training simulation for the live-force aircraft, wherein the training simulation includes the adversary aircraft with the simulated attributes.