DocumentCode
2027738
Title
Comparative study of centralized and decentralized localization methods
Author
Baldit, Frédéric ; Le Cadre, Jean-Pierre
Author_Institution
IRISA/CNRS, Rennes, France
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
69
Abstract
Decentralized detection (DD) is an interesting alternative to classical centralized detection (CD) when communicational/computational constraints play an important role in the design of the decision system. The authors investigate the feasibility of decentralized techniques for realistic situations, and their relative performance with CD when the Neyman-Pearson criterion is chosen, where relatively good performance of DD is shown. Of special interest seems to be the inherent robustness of DD architectures.<>
Keywords
decision theory; signal detection; Neyman-Pearson criterion; centralized detection; decentralised detection; decentralized localization; decision system; design; feasibility; performance; robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319596
Filename
319596
Link To Document