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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Online Recursive Identification Method over Networks with Random Packet Losses
verfasst von : Dajun Du, Lili Shang, Wanqing Zhao
Erschienen in: Computational Intelligence, Networked Systems and Their Applications
Verlag: Springer Berlin Heidelberg
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Under the network environment, data packet losses bring an undesirable effect on parameter identification. To solve this problem, an online recursive identification method over networks with random packet losses is proposed. In this algorithm, the Bernoulli processes is firstly employed to describe the character of data packet losses. Considering random packet losses, an improved recursive least squares (RLS) algorithm is then presented by using Givens transformation, where the intermediate matrix can be updated recursively. Simulation results show that the proposed algorithm is able to significantly enhance the accuracy of parameter estimation, and the estimated variance becomes smaller as the number of iterations increases.