TitleDistributed TLS Estimation under Random Data Faults
Publication TypeConference Paper
Year of Publication2015
AuthorsPereira, SSilva, Pagès-Zamora, A, López-Valcarce, R
Conference NameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date Published04/2015
Conference LocationBrisbane, Australia
Keywordscompass, wsn
Abstract This paper addresses the problem of distributed estimation of a parameter vector in the presence of noisy input and output data as well as data faults, performed by a wireless sensor network in which only local interactions among the nodes are allowed. In the presence of unreliable observations, standard estimators become biased and perform poorly in low signal-to-noise ratios. We propose two different distributed approaches based on the Expectation-Maximization algorithm: in the first one the regressors are estimated at each iteration,whereas the second one does not require explicit regressor estimation. Numerical results show that the proposed methods approach the performance of a clairvoyant scheme with knowledge of the random data faults.