Distributed detection over adaptive networks based on diffusion estimation schemes

• Published in: 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications pp. 61 - 65
• Main Authors: Cattivelli, F.S., Sayed, A.H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2009
• Subjects: Adaptive filters; Adaptive systems; Algorithm design and analysis; Context; Detection algorithms; Electric variables measurement; Iterative algorithms; Performance analysis; Resonance light scattering; Time measurement
• ISBN: 9781424436958; 1424436958
• ISSN: 1948-3244
• DOI: 10.1109/SPAWC.2009.5161747

We study the problem of distributed detection, where a set of nodes are required to decide between two hypotheses based on their measurements. We seek fully distributed implementations, where all nodes make individual decisions by communicating with their immediate neighbors, and no fusion center is necessary. This scheme provides the network with more flexibility, saves energy for communication and networking resources. Our distributed detection algorithm is based on a previously proposed distributed estimation algorithm. We establish the connection between the detection and estimation problems, propose a distributed detection algorithm, and analyze the performance of the algorithm in terms of its probabilities of detection and false alarm. We also provide simulation results comparing with other cooperation schemes.