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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.
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Submitted on : Friday, November 15, 2019 - 2:50:19 PM
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Rahul Mourya, Pascal Bianchi, Adil Salim, Cédric Richard. An Adaptive Distributed Asynchronous Algorithm with Application to Target Localization. International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Nov 2017, CURAÇAO, DUTCH ANTILLES, Curaçao. ⟨10.1109/CAMSAP.2017.8313117⟩. ⟨hal-02365695⟩



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