Automated Radar Parameter Characterization System
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Solution Overview
Problem
Current systems for characterizing radar parameters are inefficient, requiring extensive manual processing and data analysis, making it difficult to rapidly characterize unknown radars and correlate signals intelligence from disparate platforms.
Innovation Solution
The development of systems and methods that automate the characterization of radars by calculating Pulse Repetition Intervals (PRIs), estimating clock, crystal, mode, and countdown parameters using root mean square error methods, and correlating contact reports to form comprehensive models, reducing processing time from hours to seconds and enabling real-time analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing and data analysis are used to characterize radar parameters, then measurement precision can be maintained, but productivity is severely reduced and loss of time increases
Solution Approach 1:
The patent replaces manual mechanical analysis processes with an automated computer-based system that uses algorithms to calculate Pulse Repetition Intervals, estimate clock parameters, and characterize radar emissions. This substitution maintains measurement precision through systematic computational methods while dramatically increasing productivity by automating the entire characterization workflow.
Solution Approach 2:
The system enables self-service characterization where the automated platform independently processes radar emissions data, calculates parameters, and generates characterization results without requiring continuous manual intervention. The computer system serves itself by automatically correlating contact reports and forming tracks, reducing analyst workload while maintaining accuracy.
2Measurement precision
If comprehensive radar parameter analysis is performed to improve characterization accuracy, then measurement precision improves, but device complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The patent segments the complex radar characterization process into distinct modular components: contact report correlation, track formation, Pulse Repetition Interval calculation, clock estimation, and parameter characterization. Each module handles a specific aspect of the analysis, making the overall complex system manageable and maintainable while achieving comprehensive characterization accuracy.
3Productivity
If automated systems are implemented to increase productivity, then processing speed improves, but ease of operation may deteriorate due to system complexity
Solution Approach 1:
The automated characterization platform is designed as a universal system that handles multiple radar types and emission scenarios through a single integrated interface. The system performs correlation, track formation, and parameter estimation using standardized algorithms that work across different radar configurations, simplifying operation despite the sophisticated processing occurring behind the scenes.
Data Source
AI summary
Methods for characterizing radar can include the steps of receiving a plurality of radar emissions, and determining a plurality of Pulse Repetition Intervals (PRIs) corresponding to the emissions. A plurality of clocks Xi can be calculated using the PRIs. A clock range and a clock interval can be defined for the plurality of calculated clocks Xi and a clock X can be estimated, but only for the clocks Xi that are within the defined clock range. Countdowns Ci can be determined using the calculated clock X, and a mode M and crystal b can be calculated based on Ci. Clock X, countdowns Ci, mode M and crystal b, when considered together can accurately characterize a specific radar emission (and radar the emission came from). The systems and methods can be accomplished using emissions that are being received in real time using a receiver and emissions data from a database simultaneously.