On multitrack fusion under unknown correlation

Bakr, Muhammad Abu; Lee, Sukhan

doi:10.1049/iet-rsn.2018.5098

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“…more accurate than each local tracker [77], it yields a conservative track estimate [78]. Therefore, it has been modified in [79,80] by incorporating a partial prior knowledge regarding the unknown cross-correlations in order to improve the tracking performance.…”

Section: P R E P R I N Tmentioning

confidence: 99%

Radar networks: A review of features and challenges

Javadi

Farina

2020

Information Fusion

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Networks of multiple radars are typically used for improving the coverage and tracking accuracy. Recently, such networks have facilitated deployment of commercial radars for civilian applications such as healthcare, gesture recognition, home security, and autonomous automobiles. They exploit advanced signal processing techniques together with efficient data fusion methods in order to yield high performance of event detection and tracking. This paper reviews outstanding features of radar networks, their challenges, and their state-of-the-art solutions from the perspective of signal processing. Each discussed subject can be evolved as a hot research topic.

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