Adaptive Constant False Alarm Rate Detector Based on Long Short-term Memory Network
To solve the problem of degradation of detection performance of adaptive constant false alarm rate (CFAR) detectors due to low accuracy of environment recognition, an automatic clipping adaptive CFAR detector based on long short-term memory (LSTM) network is proposed. LSTM network is used to recogni...
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| Main Authors: | C. Xiu, Y. Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2025-04-01
|
| Series: | Radioengineering |
| Subjects: | |
| Online Access: | https://www.radioeng.cz/fulltexts/2025/25_01_0132_0142.pdf |
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