Adaptive decision fusion for unequiprobable sources

Document Type

Article

Publication Date

1-1-1997

Abstract

An optimal decision rule has been derived by Chair and Varshney (1986) for fusing decisions based on the Bayesian criterion. However, to implement such a rule, the miss probability PM and the probability of false alarm PF for each local detector must be known, and these are not readily available in practice. To circumvent this situation, an adaptive fusion system for equiprobable sources has been developed. The system is extended to unequiprobable sources; thus its practicality is enhanced. An adaptive fusion model using the fusion result as a supervisor to estimate the PM and Pp is introduced. The fusion results are classified as 'reliable' and 'unreliable'. Reliable results are used as a reference to update the weights in the fusion centre. Unreliable results are discarded. The convergence and error analysis of the system are demonstrated theoretically and by simulations. The paper concludes with simulation results that conform to the analysis. © IEE, 1997.

Identifier

0031165235 (Scopus)

Publication Title

IEE Proceedings Radar Sonar and Navigation

External Full Text Location

https://doi.org/10.1049/ip-rsn:19971176

ISSN

13502395

First Page

105

Last Page

110

Issue

3

Volume

144

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