Radar Transmitter Identification via Time Gap Distribution Analysis
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Solution Overview
Problem
Existing methods for identifying radar transmitters from received pulses are unreliable due to pulse losses, especially in noisy environments, leading to inaccurate assignment of transmitter classes.
Innovation Solution
A method that calculates a proximity score between the observed distribution of time gaps and expected signatures for each transmitter class, accounting for pulse loss rates, to reliably identify radar transmitters without requiring intensive computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pulse distribution analysis is used for transmitter identification, then identification capability is provided, but reliability deteriorates due to pulse losses
Solution Approach 1:
The patent pre-calculates expected time gap distributions for each transmitter class under various pulse loss rates before actual identification occurs. These pre-computed reference distributions are stored for comparison with observed distributions, allowing the system to compensate for pulse losses without requiring complex real-time calculations or additional measurements.
2Reliability
If complex algorithms are used to improve identification reliability, then identification accuracy improves, but computing resource requirements increase
Solution Approach 1:
The patent creates simplified copies of the identification problem by pre-computing expected time gap distributions for each transmitter class under different pulse loss conditions. Instead of using complex algorithms during real-time identification, the system compares observed distributions against these pre-computed reference copies, dramatically reducing computing resource requirements while maintaining high identification accuracy.
Data Source
AI summary
The invention relates to a computer-implemented method for identifying a radar transmitter from a set of corresponding received pulses, each pulse being associated with a respective time of arrival. The method includes determining an observed signature of the radar transmitter based on a distribution of the time gaps between consecutive times of arrival. For each transmitter class among a plurality of predetermined transmitter classes, each transmitter class being associated with at least one expected signature, the method includes calculating a proximity score between the observed signature and each expected signature associated with said transmitter class. Each expected signature is a function of an expected distribution of the time gaps between consecutive times of transmission for said transmitter class, and for a predetermined pulse loss rate. The method also includes assigning the radar transmitter to the transmitter class associated with the expected signature that provides the best proximity score.