A new state estimation method for chaotic signals: Map-particle filter method

Seongkeun Park, Jae Pil Hwang, Euntai Kim

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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
Issue number9
Publication statusPublished - 2011 Sept

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (No. 2010-0012631 ).

All Science Journal Classification (ASJC) codes

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


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