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Radar networks : a review of features and challenges

(2020) INFORMATION FUSION. 61. p.48-55
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Abstract
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.
Keywords
Signal Processing, Hardware and Architecture, Software, Information Systems, MULTITARGET TRACKING, SENSOR SELECTION, DATA ASSOCIATION, COVARIANCE INTERSECTION, PERFORMANCE EVALUATION, TARGET TRACKING, BIAS ESTIMATION, PHD FILTER, MULTISENSOR, ALGORITHM

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MLA
Javadi, Seyed Hamed, and Alfonso Farina. “Radar Networks : A Review of Features and Challenges.” INFORMATION FUSION, vol. 61, 2020, pp. 48–55, doi:10.1016/j.inffus.2020.03.005.
APA
Javadi, S. H., & Farina, A. (2020). Radar networks : a review of features and challenges. INFORMATION FUSION, 61, 48–55. https://doi.org/10.1016/j.inffus.2020.03.005
Chicago author-date
Javadi, Seyed Hamed, and Alfonso Farina. 2020. “Radar Networks : A Review of Features and Challenges.” INFORMATION FUSION 61: 48–55. https://doi.org/10.1016/j.inffus.2020.03.005.
Chicago author-date (all authors)
Javadi, Seyed Hamed, and Alfonso Farina. 2020. “Radar Networks : A Review of Features and Challenges.” INFORMATION FUSION 61: 48–55. doi:10.1016/j.inffus.2020.03.005.
Vancouver
1.
Javadi SH, Farina A. Radar networks : a review of features and challenges. INFORMATION FUSION. 2020;61:48–55.
IEEE
[1]
S. H. Javadi and A. Farina, “Radar networks : a review of features and challenges,” INFORMATION FUSION, vol. 61, pp. 48–55, 2020.
@article{8680490,
  abstract     = {{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.}},
  author       = {{Javadi, Seyed Hamed and Farina, Alfonso}},
  issn         = {{1566-2535}},
  journal      = {{INFORMATION FUSION}},
  keywords     = {{Signal Processing,Hardware and Architecture,Software,Information Systems,MULTITARGET TRACKING,SENSOR SELECTION,DATA ASSOCIATION,COVARIANCE INTERSECTION,PERFORMANCE EVALUATION,TARGET TRACKING,BIAS ESTIMATION,PHD FILTER,MULTISENSOR,ALGORITHM}},
  language     = {{eng}},
  pages        = {{48--55}},
  title        = {{Radar networks : a review of features and challenges}},
  url          = {{http://dx.doi.org/10.1016/j.inffus.2020.03.005}},
  volume       = {{61}},
  year         = {{2020}},
}

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