Statistical approach to track-to-track association problem

Author

Pinsky, A.

Author_Institution

Avionic Syst. Eng., Israel Aircraft Ind. Ltd., Israel

fYear

1998

fDate

13-17 Jul 1998

Firstpage

471

Lastpage

474

Abstract

We have applied techniques, developed previously (1997), to samples of track measurements and have obtained decision rule that are asymptotically close to decision rule characteristics (probability of false objects generation is not greater than any given significance level, and possibility to omit existing objects decreases with increase of observation time). The recursive computation algorithm that implements the above decision rule is developed, and objects location estimates are also obtained at every time step

Keywords

decision theory; recursive estimation; sensor fusion; tracking; decision rule characteristics; false objects generation; objects location estimates; observation time; probability; recursive computation algorithm; significance level; time step; track measurements; track-to-track association; Aerospace electronics; Character generation; Computer aided software engineering; Covariance matrix; Fusion power generation; Recursive estimation; Sensor fusion; Systems engineering and theory; Time measurement; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National

Conference_Location

Dayton, OH

ISSN

0547-3578

Print_ISBN

0-7803-4449-9

Type

conf

DOI

10.1109/NAECON.1998.710165

Filename

710165