Optimum cooperative UAV sensing based on Cramer-Rao bound

Author

Gu, G. ; Chandler, P.R. ; Schumacher, C.J. ; Sparks, A. ; Pachter, M.

fYear

2005

fDate

8-10 June 2005

Firstpage

4090

Abstract

We investigate optimal estimation for both the position and the velocity of the ground moving target (GMT) by employing sensors composed of unmanned aerial vehicles (UAVs). The problem is the cooperative sensing by the UAVs, in terms of their location geometries to achieve optimal estimation of the GMT. Based on the Cramer-Rao bound, we are able to derive the minimum achievable error variance in estimation of the position and the velocity of the GMT, and obtain the optimal geometries of the UAV sensors via minimization of the minimum achievable error variance for unbiased estimation commanded by the Cramer-Rao bound. Our solution is complete that encompasses various situations for the GMT, and the number of UAV sensors.

Keywords

computational geometry; minimisation; remotely operated vehicles; sensors; target tracking; Cramer-Rao bound; UAV sensor; cooperative sensing; error variance estimation; ground moving target; location geometries; optimal estimation; optimum cooperative UAV sensing; unmanned aerial vehicles; Azimuth; Estimation error; Gaussian noise; Geometry; Intelligent sensors; Radar tracking; Reconnaissance; Surveillance; Target tracking; Unmanned aerial vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2005. Proceedings of the 2005

ISSN

0743-1619

Print_ISBN

0-7803-9098-9

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2005.1470618

Filename

1470618