BİLİR-RWRIn ProgressTÜBİTAK 1501 · #3250734
BİLİR-RWR Cognitive Electronic Warfare
A cognitive EW system that identifies threat emitters, automatically classifies signals, and suggests ECM without requiring a pre-loaded library. Real-time adaptive learning with MLP, LSTM and IQST models.
Advantages
Why BİLİR-RWR?
- Library-independent (no pre-loaded threat database required)
- Real-time adaptive learning
- Ability to recognize unknown threats
- Autonomous signal classification
- Low false alarm rate
Support Tools
Synthetic Data Generation Infrastructure
DTK Signal Generator
Synthetic radar signal dataset generation. Training and test data creation for MLP, LSTM and IQST models.
Multi-Model AI Solutions
Threat classification from radar signal feature vectors using multi-layer perceptron networks.
PRI ClassificationSignal Type Recognition
Sequential pattern recognition and temporal analysis on time-series radar signal data.
Scan Type RecognitionTemporal Pattern Analysis
Simultaneous identification and classification with multi-task learning on I/Q signal data.
LPI Radar RecognitionEmitter Type Classification
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