Integration of measurement attributes for multitarget tracking

Valerie Schmidlin; Michel Winter; Gerard Favier

doi:10.1117/12.279536

29 October 1997 Integration of measurement attributes for multitarget tracking

Valerie Schmidlin, Michel Winter, Gerard Favier

Proceedings Volume 3163, Signal and Data Processing of Small Targets 1997; (1997) https://doi.org/10.1117/12.279536
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Many solutions have been proposed to solve the multi-target tracking problem, using location informations provided by a radar sensor. The major drawbacks of classical methods are: (1) they need a priori knowledge on the problem, such as the measurement noise statistics, the number of targets, the probabilities of detection and false alarm; (2) they only treat one part of the problem, that is to say the plot/track association problem; (3) they are unable to solve the initiation problem, which is the key problem. We recently developed a neural solution for multiple radar target tracking, allowing to solve the problem in an integrated way, with few assumptions on the input data. This paper presents how measurement attributes, such as the Doppler velocity, the detection likelihood (classification probability of the detection) and the local report density (estimated on-line can be incorporated in our neural solution. Some simulation results are reported to compare the performances of our neural solution (with and without measurement attributes), with the joint probabilistic data association filter.

Citation Download Citation

Valerie Schmidlin, Michel Winter, and Gerard Favier "Integration of measurement attributes for multitarget tracking", Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); https://doi.org/10.1117/12.279536

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available