A new state estimation method for chaotic signals

Map-particle filter method

Seongkeun Park, Jae Pil Hwang, Euntai Kim

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Over the past few decades, research has been conducted regarding the applicability of chaotic behavior in consumer and industrial applications, including secure communication. In this paper, we develop a new particle filter termed as MAP-particle filter and apply it to a secure communication. The proposed particle filter estimates not only the chaotic state but also the secure message, thereby improving the secure communication performance. A computer simulation is conducted to demonstrate the effectiveness of our proposed method.

Original languageEnglish
Pages (from-to)11442-11446
Number of pages5
JournalExpert Systems with Applications
Volume38
Issue number9
DOIs
Publication statusPublished - 2011 Sep 1

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State estimation
Industrial applications
Computer simulation
Secure communication

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering(all)

Cite this

Park, Seongkeun ; Hwang, Jae Pil ; Kim, Euntai. / A new state estimation method for chaotic signals : Map-particle filter method. In: Expert Systems with Applications. 2011 ; Vol. 38, No. 9. pp. 11442-11446.
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A new state estimation method for chaotic signals : Map-particle filter method. / Park, Seongkeun; Hwang, Jae Pil; Kim, Euntai.

In: Expert Systems with Applications, Vol. 38, No. 9, 01.09.2011, p. 11442-11446.

Research output: Contribution to journalArticle

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