A Deep Reinforcement Learning Method with a Low Intercept Probability in a Netted Synthetic Aperture Radar
A deep reinforcement learning (DRL)-based power allocation method is proposed to achieve a low probability of intercept (LPI) in a netted synthetic aperture radar (SAR). To provide a physically meaningful and intuitive assessment of a netted radar for LPI performance, a netted circular equivalent vu...
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Main Authors: | Longhao Xie, Ziyang Cheng, Ming Li, Huiyong Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/14/2341 |
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