NDLI: Performance evaluation of multisensor track-to-track fusion

Content Provider	IEEE Xplore Digital Library
Author	Chang, K.C. Saha, R.K. Bar-Shalom, Y. Alford, M.
Copyright Year	1996
Description	Author affiliation: Dept. of Syst. Eng., George Mason Univ., Fairfax, VA, USA (Chang, K.C.)
Abstract	Track-to-track fusion is an important part in multisensor fusion. In practice, the process noise is not negligible due to target manoeuvring and sensors typically communicate infrequently to save communication bandwidth. In such situations, the measurements from two sensors are not conditionally independent due to the common process noise from the underlying system. This dependence phenomena was also observed by Bar-Shalom (1981) where a formula was derived to compute the cross-covariance of two track estimates obtained by different sensors. Based on the results, a fusion formula was subsequently derived (Bar-Shalom et al. (1986)) to combine the local estimates which took into account the dependency between the two estimates. This paper points out the implicit approximation made by Bar-Shalom et al. and shows that the result turns out to be optimal only in the maximum likelihood sense. A performance evaluation technique is then proposed to study the performance of various track-to-track fusion techniques. The results provide performance bounds of different techniques under various operating conditions which can be used in designing a fusion system.
Starting Page	627
Ending Page	632
File Size	399823
Page Count	6
File Format	PDF
ISBN	078033700X
DOI	10.1109/MFI.1996.572239
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Sensor phenomena and characterization Maximum likelihood estimation Testing Sensor systems Noise measurement Bayesian methods Time measurement Bandwidth Sensor fusion
Content Type	Text
Resource Type	Article

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