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Proceedings Paper

Networking Delay And Channel Errors In Distributed Decision Fusion
Author(s): Stelios C.A Thomopoulos; Lei Zhang
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Paper Abstract

The effects of transmission delay and channel errors on the performance of a distributed fusion system is studied. At a given time instant, the decisions from some sensors may not be available at the fusion center due to the transmission delays. Assuming that the fusion center has to make a decision based on the data from the rest of the sensors, provided that at least one peripheral decision has been received, it is shown that the optimal decision rule that maximizes the probability of detection for fixed probability of false alarm at the fusion center is the Neyman-Pearson test at the fusion center and the sensors as well. Furthermore, it is shown that, in the case of noisy channels, the decision made by each sensor depends on the reliability of the corresponding transmission channel. Moreover, the probability of false alarm at the fusion is restricted by the channel errors. For a given decision rule, the probability of any channel being in error must be kept at a certain level in order to achieve a desired probability of false alarm at the fusion. A suboptimal, but very near-to-optimal, computationally efficient algorithm is developed to solve for the sensor and fusion thresholds sequentially. Numerical results are provided to demonstrate the closeness of the solutions obtained by the suboptimal algorithm to the optimal solutions.

Paper Details

Date Published: 9 August 1988
PDF: 7 pages
Proc. SPIE 0931, Sensor Fusion, (9 August 1988); doi: 10.1117/12.946662
Show Author Affiliations
Stelios C.A Thomopoulos, Southern Illinois University (United States)
Lei Zhang, Southern Illinois University (United States)

Published in SPIE Proceedings Vol. 0931:
Sensor Fusion
Charles B. Weaver, Editor(s)

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