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- W4299879513 abstract "In this paper we consider the issue of reliability of measurements in distributed adaptive estimation problem. To this aim, we assume a sensor network with different observation noise variance among the sensors and propose new estimation method based on incremental distributed least mean-square (IDLMS) algorithm. The proposed method contains two phases: I) Estimation of each sensors observation noise variance, and II) Estimation of the desired parameter using the estimated observation variances. To deal with the reliability of measurements, in the second phase of the proposed algorithm, the step-size parameter is adjusted for each sensor according to its observation noise variance. As our simulation results show, the proposed algorithm considerably improves the performance of the IDLMS algorithm in the same condition." @default.
- W4299879513 created "2022-10-03" @default.
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- W4299879513 date "2015-07-23" @default.
- W4299879513 modified "2023-09-26" @default.
- W4299879513 title "A Reliability of Measurement Based Algorithm for Adaptive Estimation in Sensor Networks" @default.
- W4299879513 doi "https://doi.org/10.48550/arxiv.1507.06672" @default.
- W4299879513 hasPublicationYear "2015" @default.
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