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PRI sequence analysis and anomaly reconstruction method for multi-function radar pulse streams
DOI:10.1016/j.cja.2026.104399.png)
Abstract
En 中文
Multi-Function Radar (MFR) is a critical executive component in cognitive electronic systems, with the ability to dynamically modulate Pulse Repetition Intervals (PRI) and adjust operational modes. This capability presents significant challenges to electronic support systems. To address this, the present study proposes an analytical framework for processing MFR pulse streams, which includes PRI modulation recognition, abnormal pulse site detection, and PRI sequence reconstruction. The proposed methodology involves the development of a recognition and detection method based on the “PRI sequence-Label sequence” paradigm, which is comprised of two primary components. The initial component involves the establishment of a mathematical characterization model for PRI numerical sequences within the complex electromagnetic environment, and the formulation of label sequence setting rules based on the temporal relationship of abnormal pulses. The second component involves the construction of a sequence classification network, with a basic module comprising Bidirectional Long Short-Term Memory (Bi-LSTM). This network is employed to execute two specific tasks: PRI modulation recognition and abnormal pulse site detection. Subsequently, a PRI sequence reconstruction method is proposed, utilizing the labeling information of abnormal sites to recover the temporal information corrupted by abnormal pulses in MFR pulse streams. The experimental results demonstrate that the proposed framework can maintain effective classification and detection performance in very short pulse streams, exhibit strong robustness in highly antagonistic electronic environments, and effectively recover corrupted frame period information in periodic PRI-modulated pulse streams. This provides substantial support for the inversion of complete MFR signals.
Keywords:
Multi-function radar
PRI modulation recognition
Abnormal pulse detection
PRI sequence reconstruction
Radar countermeasures
Cognitive systems
Journal
IF:
5.7
Papers:
4.7K
Citations:
1.4W

