Distributed detection basis on using soft decision scheme both in local sensors and in fusion center

Author:

Parfenov V. I.1,Le V. D.1

Affiliation:

1. Voronezh State University

Abstract

The paper considers distributed detection problem basis on using soft decision scheme both in the local sensors and in the fusion center (FC). The algorithm for making soft decisions when receiving data from local sensors in the fusion center and its performance characteristics, which are necessary for the formation decision fusion rule, are presented. The dependencies of the total error probability on the energy parameter taking into account signal-to-noise ratio at the level of local sensors and the channel’s signal-to-noise ratio are given. The gain of the fusion rule basis on the aggregation of soft decisions in the FC when receiving data about soft local decisions, in efficiency compared to hard fusion rule.

Publisher

CRI Electronics

Subject

General Medicine

Reference10 articles.

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2. Thomopoulos, S. C. A., Viswanathan, R., Bougoulias, D. C. (1987). Optimal decision fusion in multiple sensor systems. IEEE Transactions on Aerospace and Electronic Systems, 23(5), 644–653.

3. Sriranga, N., Nagananda, K. G., Blum, R. S., Saucan, A. Varshney, P. K. (2018). Energy-efficient decision fusion for distributed detection in wireless sensor networks. Proc. IEEE Conf. Inf. Fusion, 1541–1547.

4. Goel, A., Patel, A., Nagananda, K. G., Varshney, P. K. (2018). Robustness of the Counting Rule for Distributed Detection in Wireless Sensor Networks. IEEE Signal Processing Letters, 25(8), 1191–1195.

5. Parfenov, V. I., Le, V. D. (2020). The optimal algorithm of aggregation of information in wireless sensor networks taking into account the influence of interference in the radio channel. Telekommunikatsii – Telecommunications, 2, 12–17. (In Russian).

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