Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments

Vinay Gogineni*, Pouria Talebi, Stefan Werner, Danilo Mandic

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

2 Sitaatiot (Scopus)
83 Lataukset (Pure)

Abstrakti

In an increasing number of modern filtering applications, the encountered signals consist of frequent sharp spikes, that cannot be accurately modeled using Gaussian random processes. Modeling the behavior of such signals requires the more general framework of α -stable random processes. In order to present an inclusive filtering solution, this brief derives a new class of fractional-order correntropy adaptive filters that are robust to the jittery α -stable signals. In contrast to conventional correntropy filters, the proposed objective function is compatible with the characteristic function of α -stable processes and captures fractional moments; therefore, the resulting algorithms do not depend on non-existing second-order moments. The work also includes performance and convergence analysis of the derived algorithms. Finally, simulations are conducted to illustrate the effectiveness of the proposed filtering techniques, which indicate that the proposed filters can outperform their counterparts and show less sensitivity to changes in the α parameter.

AlkuperäiskieliEnglanti
Artikkeli9094678
Sivut3557-3561
Sivumäärä5
JulkaisuIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Vuosikerta67
Numero12
Varhainen verkossa julkaisun päivämäärä2020
DOI - pysyväislinkit
TilaJulkaistu - joulukuuta 2020
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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