Decentralized 3-D Target Tracking in Asynchronous 2-D Radar Network: Algorithm and Performance Evaluation

The problem of 3-D target tracking in asynchronous 2-D radar network is considered. To deal with this problem, this paper presents a decentralized asynchronous track-to-track fusion (DAT2TF) algorithm. The DAT2TF algorithm is implemented by reconstructing the optimal centralized fusion result with a...

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Veröffentlicht in:IEEE sensors journal Jg. 17; H. 3; S. 823 - 833
Hauptverfasser: Yan, Junkun, Liu, Hongwei, Pu, Wenqiang, Bao, Zheng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
2-D radar network
3-D target tracking
Algorithms
Approximation algorithms
asynchronous
Cartesian coordinates
Covariance matrix
Cramer-Rao bounds
decentralized Bayesian Cramér-Rao lower bound
Lower bounds
Performance evaluation
Radar networks
Radar tracking
Sensors
Target tracking
Three-dimensional displays
Two dimensional displays
ISSN:1530-437X, 1558-1748
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Zusammenfassung:The problem of 3-D target tracking in asynchronous 2-D radar network is considered. To deal with this problem, this paper presents a decentralized asynchronous track-to-track fusion (DAT2TF) algorithm. The DAT2TF algorithm is implemented by reconstructing the optimal centralized fusion result with asynchronous local estimates and their error covariance matrices. The derivations show that this algorithm actually operates in a centralized sense, but is not optimal due to two approximations about the local target motion model and the polar to Cartesian measurement conversion procedure. To evaluate the estimation performance of the DAT2TF algorithm, a decentralized Bayesian Cramér-Rao lower bound is also developed. Simulation results show that the proposed approach is effective and efficient, when compared with the particle filter-based centralized fusion architecture, in terms of the tracking accuracy and the computation load.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2635132