Optimal Decision Fusion in Multiple Sensor Systems

The problem of optimal data fusion in the sense of the Neyman-pearson (N-P) test in a centralized fusion center is considered. The fusion center receives data from various distributed sensors. Each sensor implements a N-P test individually and independently of the other sensors. Due to limitations i...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 1987-09, Vol.AES-23 (5), p.644-653
Main Authors: Thomopoulos, Stelios C.A., Viswanathan, Ramanarayanan, Bougoulias, Dimitrios C.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Applied sciences
Bayesian methods
Capacitive sensors
Channel capacity
Equations
Exact sciences and technology
Probability
Sensor fusion
Sensor systems
Surveillance
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Testing
Transmission and modulation (techniques and equipments)
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Summary:The problem of optimal data fusion in the sense of the Neyman-pearson (N-P) test in a centralized fusion center is considered. The fusion center receives data from various distributed sensors. Each sensor implements a N-P test individually and independently of the other sensors. Due to limitations in channel capacity, the sensors transmit their decision instead of raw data. In addition to their decisions, the sensors may transmit one or more bits of quality information. The optimal, in the N-P sense, decision scheme at the fusion center is derived and it is seen that an improvement in the performance of the system beyond that of the most reliable sensor is feasible, even without quality information, for a system of three or more sensors. If quality information bits are also available at the fusion center, the performance of the distributed decision scheme is comparable to that of the centralized N-P test. Several examples are provided and an algorithm for adjusting the threshold level at the fusion center is provided.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.1987.310858