Download or read book Data Fusion and Sensor Management written by James Manyika and published by Prentice Hall. This book was released on 1994 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a single probability-based information-theoretic model for addressing issues in data fusion and sensor management for multi-sensor systems in general and decentralized systems in particular, this text develops mutually consistent data fusion architectures and algorithms. The algorithms are various architectural forms of the information filter and a corresponding Bayesian classification algorithm. Of significance is the normative sensor management method, making use of information-based utility functions.