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Conference papers
An Adaptive Distributed Asynchronous Algorithm with Application to Target Localization
Abstract : This paper introduces a constant step size adaptive algorithm for distributed optimization on a graph. The algorithm is of diffusion-adaptation type and is asynchronous: at every iteration , some randomly selected nodes compute some local variable by means of a proximity operator involving a locally observed random variable, and share these variable with neighbors. The algorithm is built upon a stochastic version of the Douglas-Rachford algorithm. A practical application to target localization using measurements from multistatic continuous active sonar systems is investigated at length.
Cited literature [10 references]
https://hal.telecom-paris.fr/hal-02365695
Contributor : Rahul Mourya <>
Submitted on : Friday, November 15, 2019 - 2:50:19 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:41 PM
Document(s) archivé(s) le : Sunday, February 16, 2020 - 4:40:21 PM
Contributor : Rahul Mourya <>
Submitted on : Friday, November 15, 2019 - 2:50:19 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:41 PM
Document(s) archivé(s) le : Sunday, February 16, 2020 - 4:40:21 PM
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CAMSAP2017.pdf
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