Optimal Training and Data Power Allocation in Distributed Detection With Inhomogeneous Sensors

    Authors

    H. R. Ahmadi;A. Vosoughi

    Comments

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    Abbreviated Journal Title

    IEEE Signal Process. Lett.

    Keywords

    Channel estimation; deflection coefficient; distributed detection; optimal power allocation; COGNITIVE RADIO; NETWORKS; CHANNELS; FUSION; Engineering, Electrical & Electronic

    Abstract

    We consider a binary distributed detection problem in a wireless sensor network with inhomogeneous sensors, in which sensors send their binary phase shift keying (BPSK) modulated decisions to the fusion center (FC) over orthogonal channels that are subject to pathloss, Rayleigh fading, and Gaussian noise. Assuming training based channel estimation, we consider a linear fusion rule which employs imperfect channel state information (CSI) to form the global decision at the FC. Under the constraint that the total transmit power of training and decision symbols at each sensor is fixed, we analytically derive the optimal power allocation between training and data at each sensor such that the deflection coefficient at the FC is maximized. Our analysis shows that the proposed optimal power allocation scheme is a function of signal-to-noise (SNR) and local detection indices, and at high SNR regime, the proposed scheme outperforms the uniform power allocation.

    Journal Title

    Ieee Signal Processing Letters

    Volume

    20

    Issue/Number

    4

    Publication Date

    1-1-2013

    Document Type

    Article

    Language

    English

    First Page

    339

    Last Page

    342

    WOS Identifier

    WOS:000316224500001

    ISSN

    1070-9908

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