MINIMAX ROBUST DECENTRALIZED DETECTION

Authors
VEERAVALLI VV BASAR T POOR HV
Citation
Vv. Veeravalli et al., MINIMAX ROBUST DECENTRALIZED DETECTION, IEEE transactions on information theory, 40(1), 1994, pp. 35-40
Citations number
11
Categorie Soggetti
Information Science & Library Science","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on information theory → ACNP
ISSN journal
00189448
Volume
40
Issue
1
Year of publication
1994
Pages
35 - 40
Database
ISI
SICI code
0018-9448(1994)40:1<35:MRDD>2.0.ZU;2-6
Abstract
Decentralized detection problems are studied where the sensor distribu tions are not specified completely. The sensor distributions are assum ed to belong to known uncertainty classes. It is shown for a broad cla ss of such problems that a set of least favorable distributions exists for minimax robust testing between the hypotheses. It is hence establ ished that the corresponding minimax robust tests are solutions to sim ple decentralized detection problems for which the sensor distribution s are specified to be the least favorable distributions.