@inproceedings{46ce84592704479c836723067373e5ae,
title = "Anti-jamming decision method for anti-ship radar seeker based on embedding deep Q-network",
abstract = "With the increasing complexity of electronic countermeasures, radar seekers face challenges from complex electronic interference. This paper examines the scenario where an anti-ship radar seeker counters shipborne jamming aircraft, considering both common suppressive and deceptive jamming. Considering the Markov properties inherent in the radar anti-jamming decision-making procedure, this paper constructs a theoretical framework based on Markov Decision Process (MDP) and designs corresponding state space, action space, and reward function. This paper also proposes an improved Deep Q-Network algorithm-Embedding Deep Q-Network, which incorporates embedding layers to handle discrete input features, improving training performance. Simulation experiments confirm the effectiveness of the proposed method.",
keywords = "anti-jamming, anti-ship radar seeker, Deep Q-Network, Embedding layer",
author = "Qicheng Song and Xiongkui Zhang and Yan Li and Yubo Jia",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; 5th International Conference on Signal Image Processing and Communication, ICSIPC 2025 ; Conference date: 16-05-2025 Through 18-05-2025",
year = "2025",
month = sep,
day = "8",
doi = "10.1117/12.3076584",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Shou Feng and Zhihao Zhang",
booktitle = "Fifth International Conference on Signal Image Processing and Communication, ICSIPC 2025",
address = "United States",
}