Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks Article Swipe
Kuiwu Wang
,
Qin Zhang
,
Guimei Zheng
,
Xiaolong Hu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23218751
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23218751
Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes in the fusion interval is flood communicated into composite measurement information. The Gaussian component representing the same target is associated with a subset by distance correlation. Then, the Bayesian Cramér–Rao Lower Bound of the asynchronous multi-target-tracking error, including radar node selection, is derived by combining the composite measurement information representing the same target. On this basis, a multi-sensor-network-optimization model for asynchronous multi-target tracking is established. That is, to minimize the asynchronous multi-target-tracking error as the optimization objective, the adaptive optimization design of the selection method of the sensor nodes in the sensor network is carried out, and the sequential quadratic programming (SQP) algorithm is used to select the most suitable sensor nodes for the AA fusion of the Gaussian components representing the same target. The simulation results show that compared with the existing algorithms, the proposed algorithm can effectively improve the asynchronous multi-target-tracking accuracy of multi-sensor networks.
Related Topics
Concepts
Wireless sensor network
Asynchronous communication
Sensor fusion
Computer science
Tracking (education)
Node (physics)
Sensor node
Algorithm
Real-time computing
Artificial intelligence
Engineering
Key distribution in wireless sensor networks
Psychology
Structural engineering
Computer network
Wireless network
Wireless
Pedagogy
Telecommunications
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23218751
- https://www.mdpi.com/1424-8220/23/21/8751/pdf?version=1698372523
- OA Status
- gold
- Cited By
- 1
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387977108
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387977108Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s23218751Digital Object Identifier
- Title
-
Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-27Full publication date if available
- Authors
-
Kuiwu Wang, Qin Zhang, Guimei Zheng, Xiaolong HuList of authors in order
- Landing page
-
https://doi.org/10.3390/s23218751Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/23/21/8751/pdf?version=1698372523Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/23/21/8751/pdf?version=1698372523Direct OA link when available
- Concepts
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Wireless sensor network, Asynchronous communication, Sensor fusion, Computer science, Tracking (education), Node (physics), Sensor node, Algorithm, Real-time computing, Artificial intelligence, Engineering, Key distribution in wireless sensor networks, Psychology, Structural engineering, Computer network, Wireless network, Wireless, Pedagogy, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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