ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
Signal Processing
Volume 85, Issue 1, January 2005, Pages 15-22
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (269 K)

  E-mail Article   
  Add to my Quick Links   
Bookmark and share in 2collab (opens in new window)
Request permission to reuse this article
  Cited By in Scopus (0)
 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.sigpro.2004.08.001    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Published by Elsevier B.V.

Performance of a multiscan track-to-track association techniquestar, open

Wei MeiCorresponding Author Contact Information, E-mail The Corresponding Author and Gan-lin Shan

Electronic Engineering Department, Shijiazhuang Mechanical, Engineering College, No. 97, Hepingxilu Road, Shijiazhuang 050003, China

Received 7 November 2003; 
revised 30 July 2004. 
Available online 11 September 2004.

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Abstract

The formula for calculating the theoretical probability of false association for the technique of track-to-track association (TTTA) using multiscan data is presented. The multiscan TTTA technique and the single-scan TTTA technique are studied by analysis and simulation. The conclusion is that the theoretical performance of the multiscan method is better than that of the single-scan method; however the practical performance of the former evaluated in our simulation is much worse than its theoretical performance, yet could still be more or less better than that of the latter. The reason is that estimation errors of the sensor-level tracks are strongly dependent across time.

Keywords: Track-to-track association; Multisensor tracking; Information fusion

Nomenclature

View the MathML source
estimates of n-dimensional state vectors from sensor i,j
View the MathML source
n-dimensional true state vectors
Δij(k)
difference of the true states
View the MathML source
difference of two estimates
View the MathML source
error in the difference between two estimates
Tij(k)
covariance of View the MathML source
D(k)
test statistic for single-scan track-to-track association technique
C(k)
test statistic for multiscan track-to-track association technique
B
distance vector between tracks of two different targets
W
normalized squared distance
Nn(B,T)
n-dimensional multivariate Gaussian density function with mean B and covariance T
View the MathML source
chi-square distribution with n degrees of freedom
View the MathML source
noncentral chi-square distribution with n degrees of freedom and noncentral parameter BB
α
significance level
View the MathML source
value of View the MathML source at significance level α
λ
decision threshold
p(C)
probability density function of C
ψC(k)(μ)
characteristic functions of C(k)
PCA
probability of correct association
PFA
probability of false association
PFAS1
simulated probability of false association for single-scan track-to-track association technique
PFAS2
simulated probability of false association for multiscan track-to-track association technique
PFA1
theoretical probability of false association for single-scan track-to-track association technique
PFA2
theoretical probability of false association for multiscan track-to-track association technique
PCAS1
simulated probability of correct association for single-scan track-to-track association technique
PCAS2
simulated probability of correct association for multiscan track-to-track association technique
PCA1
theoretical probability of correct association for single-scan track-to-track association technique
PCA2
theoretical probability of correct association for multiscan track-to-track association technique

Article Outline

Nomenclature
1. Introduction
2. Single-scan TTTA technique and its performance
3. Multiscan TTTA technique and its performance
4. Simulation
5. Conclusion
References









Signal Processing
Volume 85, Issue 1, January 2005, Pages 15-22
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.