Targeting System Simulator for Adverse Weather Precision
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Solution Overview
Problem
Existing airborne targeting systems are hindered by undesirable weather conditions and hostile environments, which affect their ability to operate with precision at low altitudes and high speeds, leading to potential mission discontinuation due to the risk of loss.
Innovation Solution
A targeting system and simulator that utilize autonomous decision-making, sensor systems, and vehicle performance to maximize survivability, combined with a simulation tool that analyzes aircraft and sensor trade-offs to optimize operational settings for 'low and fast' environments, allowing for precision target identification and location in any weather and at any time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If airborne targeting systems operate in hostile environments with undesirable weather conditions, then target acquisition capability deteriorates, but mission continuity requirement demands operation
Solution Approach 1:
The patent introduces a simulator as an intermediary system that models the interaction between targeting systems and adverse environmental conditions. The simulator serves as a mediator between real-world harsh conditions and actual system operation, allowing virtual testing and optimization without exposing the physical system to harmful weather factors while maintaining operational reliability
Solution Approach 2:
The simulator enables preliminary action by allowing extensive testing, validation, and optimization of targeting systems in virtual representations of hostile environments before actual deployment. This preliminary virtual testing prepares the system to reliably operate in adverse weather conditions when deployed
2Measurement precision
If airborne systems operate at low altitudes and high speeds, then precision target identification capability improves, but survivability deteriorates due to increased threat exposure
Solution Approach 1:
The patent creates a virtual copy of the airborne targeting system and its operational environment in the simulator. This digital replica allows precise analysis of target identification capabilities at low altitude and high speed without requiring the physical system to repeatedly expose itself to dangerous conditions, thereby preserving survivability while maintaining measurement precision
Solution Approach 2:
The simulator enables preliminary optimization of the targeting system's performance parameters for low-altitude high-speed operation. By pre-configuring and validating the system in virtual scenarios, the actual airborne system achieves precise target identification with minimized exposure time to threats
3Reliability
If autonomous decision-making and sensor systems are integrated to maximize survivability, then system complexity increases, but operational effectiveness in adverse conditions improves
Solution Approach 1:
The simulator serves multiple functions: it models complex environmental conditions, tests autonomous decision-making algorithms, validates sensor system performance, and optimizes overall system configuration. This multi-functional approach consolidates what would otherwise require separate complex subsystems into a unified simulation platform, managing complexity while improving survivability
Data Source
AI summary
A method of operating a targeting system simulation tool (TSST) includes providing a TSST configured to receive an obstacle/effect parameterization, a simulation parameterization, a sensor parameterization, an aircraft parameterization, and an autonomy parameterization. The method further includes receiving by the TSST, at least one of each of an obstacle/effect parameterization and a simulation parameterization. The method further includes receiving by the TSST, either (1) a sensor parameterization or (2) an aircraft parameterization. The method further includes operating the TSST to apply the provided ones of the obstacle/effect parameterization, simulation parameterization, sensor parameterization, and aircraft parameterization to generate a value, value range, or value limit for the unprovided aircraft parameterization or unprovided sensor parameterization.