Target Localization in Acoustic Sensor Networks Using Factor Graphs

Murat Uney, Mujdat Cetin

Research output: Contribution to conferencePaperpeer-review


We consider the problem of localizing targets which act as acoustic sources over a region covered by a sensor network in which each node is equipped with an acoustic intensity sensor. The a posteriori distribution of each target location is constructed through a message passing algorithm on
the factor graph representation of the joint posterior which is based on
the loopy sum product algorithm. After constructing the posteriors, it is possible to compute the MAP or MMSE estimation expressions of the target locations under these distributions. This approach is the application of
an information architecture for distributed inference proposed
before. Therefore it is naturally amenable to a distributed
implementation and depending on functions which can be
easily generated, it has the advantage of compliance with the
requirements of sensor networks.
Original languageOther
Publication statusPublished - 20 Apr 2008
EventSignal Processing, Communication and Applications Conference, 2008 - Aydin, Aydin, Turkey
Duration: 20 Apr 200822 Apr 2008


ConferenceSignal Processing, Communication and Applications Conference, 2008

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