Cognitive Radar Target Tracking Using Intelligent Waveforms Based on Reinforcement Learning

Author:

Zhu Peikun1ORCID,Liang Jing1ORCID,Luo Zihan1,Shen Xiaofeng1

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

Sichuan Natural Science Foundation

111 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Microwave Photonic Cognitive Radar With a Subcentimeter Resolution;IEEE Transactions on Microwave Theory and Techniques;2024-09

2. Maneuvering Target Tracking Using GAT Autoencoder with Clutters;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Intelligent Waveform Optimization for Target Tracking Based on Fuzzy Reinforcement Learning In Radar Sensor Networks;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Radar Waveform Selection for Maneuvering Target Tracking in Clutter with PDA-RBPF and Max-Q-Based Criterion;Remote Sensing;2024-05-27

5. MIMO Radar Waveform Design for Range-ISL Optimization via Iterative Deep Unfolding Network;IEEE Geoscience and Remote Sensing Letters;2024

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