Fusion of reduced-rank TMA estimates

Author

Blanc-Benon, P. ; Passerieux, J.M.

Author_Institution

Thomson Marconi Sonar, Sophia Antipolis, France

Volume

36

Issue

3

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

750

Lastpage

759

Abstract

The problem of bearings-only target motion analysis (TMA) in incompletely observable situations is considered. Both target and observer trajectories are rectilinear uniform motions (RUMs). A specific method is first established for the estimation of such reduced-rank TMA (RR-TMA). Then, the statistical fusion of two (or more) RR-TMA estimates into a complete observable TMA is established. Remarkably, this second stage is analytical. Finally the fusion algorithm is shown to be efficient for a reasonable domain of measurement errors. Applications are listed among radar and sonar tracking problems. They are specially encountered in large-scale multiplatform situations where combinatorial testing of multiple hypotheses is a big issue, or in long-term integration of moving targets where the dimension reduction of the search-grid is critical

Keywords

motion estimation; parameter estimation; radar tracking; sensor fusion; sonar tracking; statistical analysis; target tracking; bearings-only target motion analysis; combinatorial testing; dimension reduction; fusion algorithm; large-scale multiplatform; measurement errors; moving targets; multiple hypotheses; observable TMA; radar tracking; rectilinear uniform motions; reduced-rank TMA; reduced-rank TMA estimates; search-grid; sonar tracking; statistical fusion; Large scale integration; Measurement errors; Motion analysis; Radar applications; Radar tracking; Sonar applications; Sonar measurements; Target tracking; Testing; Trajectory;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.869493

Filename

869493