WAVE Tool for Pre-Deployment Waveform Vulnerability Analysis
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Solution Overview
Problem
Current waveform assessment tools lack the ability to quantify threats, compare waveforms, identify vulnerabilities, and model custom waveforms, leading to costly and risky implementations with unknown performance, especially in terms of low probability of detection and interception (LPD/I).
Innovation Solution
A WAVE tool that analyzes waveforms using a set of metrics, allows comparison of waveforms, and enables customization, providing a graphical user interface (GUI) for users to evaluate and modify waveforms before implementation, incorporating machine learning for automated optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If new waveforms are implemented without assessment, then deployment speed is improved, but waveform performance and LPD/I guarantee deteriorate
Solution Approach 1:
The patent implements preliminary waveform assessment and optimization before deployment by analyzing waveform characteristics, comparing against threat models, and optimizing parameters in advance. This allows waveforms to be vetted for LPD/I performance before implementation, ensuring reliability while maintaining deployment speed through automated pre-assessment processes.
2Reliability
If waveform assessment and optimization is performed, then waveform performance and LPD/I are improved, but time and cost increase
Solution Approach 1:
The patent creates virtual models and simulations of waveforms and threat environments to assess performance without physical implementation. By using computational models to replicate waveform behavior against threat receivers, the system achieves thorough assessment without the time and cost of actual deployment and field testing.
Solution Approach 2:
The system automatically optimizes waveform parameters through algorithmic adjustment of modulation schemes, pulse durations, and other characteristics based on assessed performance metrics. This automated parameter optimization reduces the time required for manual waveform tuning while achieving improved LPD/I performance.
3Measurement precision
If comprehensive waveform analysis is performed, then vulnerability identification is improved, but system complexity increases
Solution Approach 1:
The patent divides waveform assessment into multiple independent metrics including detection probability, interception probability, and specific vulnerability measures. Each metric evaluates a particular aspect of waveform performance, allowing comprehensive analysis through modular, separately computable components that reduce overall system complexity.
Data Source
AI summary
A waveform analysis and vulnerability assessment (WAVE) tool is disclosed that can analyze the characteristics and vulnerabilities of waveforms. The WAVE tool may identify issues in waveforms prior to their implementation in a transmit device or building the back-end processing to receive the waveform at a ground station. The WAVE tool may quantify waveform vulnerabilities, address which vulnerabilities a particular waveform has, and enable the user to modify the waveform design to optimize its performance against threats prior to implementation. Additionally, the WAVE tool may save time and money since new waveforms can be vetted against the tool before implementation. Data from waveforms can be analyzed against a plurality of metrics and scores can be generated providing a quantitative assessment of waveform performance.