DocumentCode :
539146
Title :
On algorithms for asynchronous Track-to-Track Fusion
Author :
Xin Tian ; Bar-Shalom, Y.
Author_Institution :
Dept. Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2010
fDate :
26-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
This paper discusses three algorithms for the problem of asynchronous Track-to-Track Fusion (AT2TF) with track delays, where the information configuration of T2TF with partial information feedback (AT2TFpf) is used. This is the most practical configuration for AT2TF with time delays, since communication delays make full information feedback very complicated. The first algorithm is the optimal memoryless AT2TF under the Linear Gaussian (LG) assumption (denoted as AT2TFpfwoMopt), which is also the linear minimum mean square error (LMMSE) fuser without the Gaussian assumption. The second is the Information Matrix Fusion for asynchronous T2TF (denoted as AT2TFpfIMF), which is an extension of the synchronous IMF algorithm. Both algorithms are novel. The third is an approximate AT2TF algorithm proposed by Novoselsky (denoted as AT2TFpfAppr). Among the three algorithms, only the first one theoretically guarantees the consistency of the fuser. The latter two algorithms involve certain degrees of heuristics. Simulation results show that, for the scenarios considered, AT2TFpfIMF is also consistent and has similar level of tracking accuracy as AT2TFpfwoMopt. On the other hand, AT2TFpfAppr has consistency problems. Further more, due to the simplicity of AT2TFpfIMF compared to AT2TFpfwoMopt, it is an appealing candidate for practical applications.
Keywords :
Gaussian processes; matrix algebra; mean square error methods; sensor fusion; target tracking; asynchronous track-to-track fusion; communication delays; information matrix fusion; linear Gaussian assumption; linear minimum mean square error fuser; optimal memoryless AT2TF; time delays; Accuracy; Approximation algorithms; Covariance matrix; Delay; Delay effects; Noise; Target tracking; Asynchronous Track-to-Track fusion; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
Type :
conf
DOI :
10.1109/ICIF.2010.5711956
Filename :
5711956
Link To Document :
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