Work

Joint Detection Tracking via Fuzzy Reinforcement Learning and Collaborative Radar Sensors

Year: 2025

Type: article

Source: IEEE Transactions on Aerospace and Electronic Systems

DOI: 10.1109/taes.2025.3571684

Authors: Peikun Zhu, Jing Liang

Institution: University of Electronic Science and Technology of China

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Higher Education Discipline Innovation Project

Awards: G3380264814, G8978917354

OpenAlex ID: W4410491874

FWCI: 0.799

Cites: 29

Cited by: 2

Related to: 10