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Coalition Game of Radar Network for Multitarget Tracking via Model-Based Multiagent Reinforcement Learning

IEEE Transactions on Aerospace and Electronic Systems, 2023
Task assignment is crucial for multitarget tracking of the radar network and is mainly solved by centralized optimization methods, which results in the issues of robustness deficiency, high computational and communication costs, and inflexible ...
Kui Xiong   +4 more
semanticscholar   +1 more source

Radar-to-Radar Interference Suppression for Distributed Radar Sensor Networks [PDF]

open access: yesRemote Sensing, 2014
Radar sensor networks, including bi- and multi-static radars, provide several operational advantages, like reduced vulnerability, good system flexibility and an increased radar cross-section. However, radar-to-radar interference suppression is a major problem in distributed radar sensor networks.
Wen-Qin Wang
exaly   +3 more sources

Cognitive FDA-MIMO Radar Network for Target Discrimination and Tracking With Main-Lobe Deceptive Trajectory Interference

IEEE Transactions on Aerospace and Electronic Systems, 2023
This article proposes a cognitive frequency diversity array (FDA) multiple-input multiple-output (MIMO) (FDA-MIMO) radar network (CFDA-MIMON) target discrimination and tracking algorithm under main-lobe deceptive trajectory interference.
Biao Yang   +4 more
semanticscholar   +1 more source

Deep-Learning-Based Flying Animals Migration Prediction With Weather Radar Network

IEEE Transactions on Geoscience and Remote Sensing, 2023
Monitoring and forecasting aerial animal migration benefit biological conservation, aviation safety, and agricultural production. Due to the lack of large-scale observation data and quantitative knowledge of aerial animal migration mechanisms, it is ...
Huafeng Mao   +6 more
semanticscholar   +1 more source

Composed Resource Optimization for Multitarget Tracking in Active and Passive Radar Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
In this article, a composed resource optimization (CRO) scheme is developed for an active and passive radar network engaged in multiple target tracking (MTT).
Jinhui Dai   +6 more
semanticscholar   +1 more source

3-D Scattering Image Sparse Reconstruction via Radar Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
Inverse synthetic aperture radar (ISAR) can only provide two-dimensional (2-D) images to represent the target’s scattering projection on the corresponding imaging planes.
Le Kang   +4 more
semanticscholar   +1 more source

FMCW Radar Network: Multiple Access and Interference Mitigation

IEEE Journal on Selected Topics in Signal Processing, 2021
With the increasing proliferation of radars on vehicles, interference among vehicular radars is becoming a serious issue. In this work, we consider a frequency modulated continuous wave (FMCW) radar network with coherent radar interference where all ...
Sian Jin, S. Roy
semanticscholar   +1 more source

Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network

IEEE Transactions on Signal Processing, 2021
In this paper, a target capacity based resource optimization (TC-RO) scheme is developed for multiple target tracking (MTT) application in radar networks.
Jun-Kun Yan   +4 more
semanticscholar   +1 more source

LPI-based Resource Allocation Strategy for Target Tracking in the Moving Airborne Radar Network

International Radar Conference, 2022
Considering tracking a target equipped with an intercept receiver in the electronic warfare environment, how to balance the system resource to achieve the pre-defined tracking requirement and enhance the systems survival capability is significant for the
Xiujuan Lu   +3 more
semanticscholar   +1 more source

Radar Networks: A Review of Features and Challenges [PDF]

open access: yesInformation Fusion, 2020
To appear soon in Information ...
S Hamed Javadi, Alfonso Farina
exaly   +3 more sources

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