Share Email Print
cover

Proceedings Paper

Exploiting target amplitude information to improve multi-target tracking
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Closely-spaced (but resolved) targets pose a challenge for measurement-to-track data association algorithms. Since the Mahalanobis distances between measurements collected on closely-spaced targets and tracks are similar, several elements of the corresponding kinematic measurement-to-track cost matrix are also similar. Lacking any other information on which to base assignments, it is not surprising that data association algorithms make mistakes. One ad hoc approach for mitigating this problem is to multiply the kinematic measurement-to-track likelihoods by amplitude likelihoods. However, this can actually be detrimental to the measurement-to-track association process. With that in mind, this paper pursues a rigorous treatment of the hypothesis probabilities for kinematic measurements and features. Three simple scenarios are used to demonstrate the impact of basing data association decisions on these hypothesis probabilities for Rayleigh, fixed-amplitude, and Rician targets. The first scenario assumes that the tracker carries two tracks but only one measurement is collected. This provides insight into more complex scenarios in which there are fewer measurements than tracks. The second scenario includes two measurements and one track. This extends naturally to the case with more measurements than tracks. Two measurements and two tracks are present in the third scenario, which provides insight into the performance of this method when the number of measurements equals the number of tracks. In all cases, basing data association decisions on the hypothesis probabilities leads to good results.

Paper Details

Date Published: 19 May 2006
PDF: 12 pages
Proc. SPIE 6236, Signal and Data Processing of Small Targets 2006, 623618 (19 May 2006); doi: 10.1117/12.665908
Show Author Affiliations
Lisa M. Ehrman, Georgia Institute of Technology (United States)
W. Dale Blair, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6236:
Signal and Data Processing of Small Targets 2006
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top