Abstract 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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Online Recursive Identification Method over Networks with Random Packet Losses


    Contributors:
    Du, Dajun (author) / Shang, Lili (author) / Zhao, Wanqing (author)


    Publication date :

    2014-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    An Online Recursive Identification Method over Networks with Random Packet Losses

    Du, D. / Shang, L. / Zhao, W. | British Library Conference Proceedings | 2014



    Kalman filtering with partial Markovian packet losses

    Wang, B. F. / Guo, G. | British Library Online Contents | 2009