Different Sensor Placement Strategies for TDOA Based Localization

Author

Bin Yang

Author_Institution

Syst. Theor. & Signal Process., Stuttgart Univ., Germany

Volume

2

fYear

2007

fDate

15-20 April 2007

Abstract

This paper studies different optimization strategies for the sensor placement in source localization by using time differences of arrival. It continues the works in (B. Yang et al., 2005, 2006) and gives answers to some open questions there. In particular, we discuss the relationship between maximum Fisher information matrix, minimum Cramer-Rao bound, spherical codes, uniform angular arrays, and Platonic solids as well as their roles in optimizing the sensor placement. Various new optimum sensor array geometries are given.

Keywords

array signal processing; direction-of-arrival estimation; Platonic solids; TDOA based localization; maximum Fisher information matrix; minimum Cramer-Rao bound; sensor array geometries; sensor placement strategies; source localization; spherical codes; time differences of arrival; uniform angular arrays; Delay effects; Geometry; Microphone arrays; Passive radar; Position measurement; Sensor arrays; Sensor systems; Sonar measurements; Sonar navigation; Transmitters; Position measurement; computational geometry; delay estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366430

Filename

4217603