Optimal Power Constrained Distributed Detection over a Noisy Multiaccess Channel

Joint Authors

Hu, Zhiwen
Xu, Zhenhua

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-09-16

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

The problem of optimal power constrained distributed detection over a noisy multiaccess channel (MAC) is addressed.

Under local power constraints, we define the transformation function for sensor to realize the mapping from local decision to transmitted waveform.

The deflection coefficient maximization (DCM) is used to optimize the performance of power constrained fusion system.

Using optimality conditions, we derive the closed-form solution to the considered problem.

Monte Carlo simulations are carried out to evaluate the performance of the proposed new method.

Simulation results show that the proposed method could significantly improve the detection performance of the fusion system with low signal-to-noise ratio (SNR).

We also show that the proposed new method has a robust detection performance for broad SNR region.

American Psychological Association (APA)

Hu, Zhiwen& Xu, Zhenhua. 2015. Optimal Power Constrained Distributed Detection over a Noisy Multiaccess Channel. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074185

Modern Language Association (MLA)

Hu, Zhiwen& Xu, Zhenhua. Optimal Power Constrained Distributed Detection over a Noisy Multiaccess Channel. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1074185

American Medical Association (AMA)

Hu, Zhiwen& Xu, Zhenhua. Optimal Power Constrained Distributed Detection over a Noisy Multiaccess Channel. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074185

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1074185