Radar Signal Deinterleaving via Multi-Criteria Pulse Plateau Grouping
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Solution Overview
Problem
Existing methods for deinterleaving radar signals in dense electromagnetic environments face challenges in accurately grouping pulse trains from the same radar signal due to diverse waveforms and the use of single distance criteria, leading to potential errors in signal reconstruction.
Innovation Solution
A method that involves classifying pulse trains by carrier frequency and using predefined grouping and association laws to form pulse plateaus, with algorithms selecting compatible elements based on multiple criteria such as direction of arrival, temporal superposition, and pulse repetition interval, to ensure accurate grouping and minimize errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single distance criterion is used for grouping pulse trains, then the grouping process is simple and fast, but the reliability of signal reconstruction deteriorates due to diverse waveforms and potential errors
Solution Approach 1:
The patent segments the grouping process into multiple stages: initial grouping by pulse repetition interval, then secondary grouping by carrier frequency, and finally tertiary grouping by waveform characteristics. This multi-level segmentation allows each stage to focus on specific features, improving overall reliability without sacrificing too much processing speed
Solution Approach 2:
The patent introduces multiple grouping dimensions beyond a single distance criterion. It groups pulse trains first by temporal characteristics (pulse repetition interval), then by spectral characteristics (carrier frequency), and finally by waveform similarity. This multi-dimensional approach resolves the contradiction by adding grouping axes rather than relying on a single criterion
2Reliability
If multiple grouping criteria are used to improve grouping accuracy, then the reliability of deinterleaving increases, but the device complexity and processing time increase
Solution Approach 1:
The patent performs preliminary grouping by pulse repetition interval before applying more complex grouping criteria. This preliminary action filters and organizes pulse trains into candidate groups, reducing the computational burden of subsequent grouping stages and simplifying the overall algorithm complexity while maintaining high accuracy
Solution Approach 2:
The patent changes grouping parameters dynamically based on the analysis stage. It uses pulse repetition interval as the primary parameter for initial grouping, then switches to carrier frequency and waveform characteristics for refined grouping. This parameter change strategy maintains reliability while managing algorithm complexity through adaptive parameter selection
3Productivity
If pulse trains are grouped by proximity using existing algorithms, then the process is fast, but erroneous signals are generated due to antagonistic waveform features
Solution Approach 1:
The patent introduces pulse repetition interval and carrier frequency as intermediary grouping criteria between raw pulse detection and final waveform reconstruction. These intermediaries act as filters that prevent incompatible waveforms from being grouped together, eliminating erroneous signals while maintaining processing speed through efficient hierarchical filtering
Data Source
AI summary
Disclosed is a method for deinterleaving radar signals, the method including: —the reception of electromagnetic signals by a receiver (12) and the extraction of the pulses from the received signals, and —the formation of pulse trains grouping together at least three pulses spaced apart by a same pulse repetition interval, each pulse train being defined by the pulse repetition interval. The method further includes: —the grouping together of the pulse trains having a same pulse repetition interval according to a predefined grouping law in order to form pulse plateaus, and —the association of the pulse plateaus according to at least one predefined association law in order to obtain deinterleaved radar signals formed from the concatenation of the pulse trains of the associated pulse plateaus.