Diffusion LMS-based distributed detection over adaptive networks

Authors:
Federico Cattivelli;Ali H. Sayed
Affiliations:
Department of Electrical Engineering, University of California, Los Angeles, CA;Department of Electrical Engineering, University of California, Los Angeles, CA
Venue:
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Year:
2009

Citing 6
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Abstract

We consider the problem of distributed detection, where a set of nodes are required to decide between two hypotheses based on their measurements. In diffusion implementations, nodes communicate with their neighbors and no fusion center is needed. In previous work we proposed a distributed detection scheme which was based on diffusion least-squares techniques. In this work we consider the case where nodes utilize diffusion LMS techniques instead. The proposed detector is capable of tracking changes in the active hypothesis. We analyze the performance of the detector, and provide simulation results comparing with other cooperation schemes.